How do I handle python module not found?

Recommended approach: Activate the correct virtual environment, run `python -m pip install <package>`, and verify `which python` and `python -m pip --version` point to the same environment.


Best practice for python module not found?

Do this: Activate the correct virtual environment, run `python -m pip install <package>`, and verify `which python` and `python -m pip --version` point to the same environment.


Quick guidance on python module not found please.


Can you explain python module not found in a practical way?


Quick guidance on python import cycles please.

Practical answer: Break circular imports by moving shared logic to a third module or importing lazily inside functions.


I keep hitting issues with python import cycles. What should I do?


Can you explain python import cycles in a practical way?

Do this: Break circular imports by moving shared logic to a third module or importing lazily inside functions.


Can you explain python async performance in a practical way?

Short guide: Use `asyncio` for IO-bound concurrency, avoid blocking calls inside coroutines, and wrap blocking work with executors.


How do I handle python async performance?


Best practice for python async performance?

Do this: Use `asyncio` for IO-bound concurrency, avoid blocking calls inside coroutines, and wrap blocking work with executors.


I keep hitting issues with python async performance. What should I do?

Recommended approach: Use `asyncio` for IO-bound concurrency, avoid blocking calls inside coroutines, and wrap blocking work with executors.


I keep hitting issues with python memory leak debugging. What should I do?

Recommended approach: Use `tracemalloc`, inspect object growth snapshots, and check long-lived global caches and reference cycles.


How do I handle python memory leak debugging?

Practical answer: Use `tracemalloc`, inspect object growth snapshots, and check long-lived global caches and reference cycles.


Can you explain python memory leak debugging in a practical way?

Do this: Use `tracemalloc`, inspect object growth snapshots, and check long-lived global caches and reference cycles.


Quick guidance on python memory leak debugging please.


Quick guidance on python typing usage please.

Recommended approach: Add type hints to public APIs first, run a static checker, and gradually tighten strictness per module.


Can you explain python typing usage in a practical way?

Short guide: Add type hints to public APIs first, run a static checker, and gradually tighten strictness per module.


Do this: Add type hints to public APIs first, run a static checker, and gradually tighten strictness per module.


Can you explain python dataclass patterns in a practical way?

Recommended approach: Use `@dataclass(frozen=True)` for immutable records and `default_factory` for mutable defaults.


I keep hitting issues with python dataclass patterns. What should I do?

Short guide: Use `@dataclass(frozen=True)` for immutable records and `default_factory` for mutable defaults.


How do I handle python dataclass patterns?

Practical answer: Use `@dataclass(frozen=True)` for immutable records and `default_factory` for mutable defaults.


Best practice for python dataclass patterns?


Quick guidance on python logging best practices please.

Practical answer: Use structured logs, include request IDs, and avoid logging secrets or raw credentials.


How do I handle python logging best practices?

Short guide: Use structured logs, include request IDs, and avoid logging secrets or raw credentials.


Best practice for python logging best practices?

Do this: Use structured logs, include request IDs, and avoid logging secrets or raw credentials.


Can you explain python logging best practices in a practical way?


Short guide: Prefer `pyproject.toml`, pin runtime dependencies, and build reproducible lock files for deploys.


Recommended approach: Prefer `pyproject.toml`, pin runtime dependencies, and build reproducible lock files for deploys.


Can you explain python packaging in a practical way?


Quick guidance on python packaging please.


Quick guidance on javascript promise error handling please.

Recommended approach: Always return or await promises and centralize error handling with `try/catch` around awaited boundaries.


I keep hitting issues with javascript promise error handling. What should I do?

Do this: Always return or await promises and centralize error handling with `try/catch` around awaited boundaries.


Best practice for javascript promise error handling?


Can you explain javascript promise error handling in a practical way?

Practical answer: Always return or await promises and centralize error handling with `try/catch` around awaited boundaries.


How do I handle javascript event loop basics?

Recommended approach: Microtasks run before macrotasks; promise callbacks may execute before timers scheduled in the same tick.


Can you explain javascript event loop basics in a practical way?

Practical answer: Microtasks run before macrotasks; promise callbacks may execute before timers scheduled in the same tick.


I keep hitting issues with javascript event loop basics. What should I do?


Best practice for javascript event loop basics?


Quick guidance on typescript strict mode please.

Practical answer: Enable `strict`, fix `any` hotspots, and model edge cases with union types plus exhaustive narrowing.


Can you explain typescript strict mode in a practical way?

Recommended approach: Enable `strict`, fix `any` hotspots, and model edge cases with union types plus exhaustive narrowing.


Short guide: Enable `strict`, fix `any` hotspots, and model edge cases with union types plus exhaustive narrowing.


I keep hitting issues with typescript strict mode. What should I do?


I keep hitting issues with typescript generics. What should I do?

Short guide: Use generics to preserve input-output type relationships instead of weakening APIs with broad types.


Can you explain typescript generics in a practical way?


Quick guidance on typescript generics please.

Practical answer: Use generics to preserve input-output type relationships instead of weakening APIs with broad types.


Best practice for react rendering performance?

Short guide: Memoize expensive calculations, keep component props stable, and avoid unnecessary parent re-renders.


Quick guidance on react rendering performance please.

Do this: Memoize expensive calculations, keep component props stable, and avoid unnecessary parent re-renders.


Can you explain react rendering performance in a practical way?


I keep hitting issues with react rendering performance. What should I do?


Practical answer: Never mutate state directly; use immutable updates and functional `setState` patterns for derived changes.


Quick guidance on react state bugs please.

Short guide: Never mutate state directly; use immutable updates and functional `setState` patterns for derived changes.


Can you explain react state bugs in a practical way?

Do this: Never mutate state directly; use immutable updates and functional `setState` patterns for derived changes.


Recommended approach: Never mutate state directly; use immutable updates and functional `setState` patterns for derived changes.


Quick guidance on react effect dependencies please.

Practical answer: Declare all external dependencies in `useEffect` and move unstable callbacks behind `useCallback` when needed.


I keep hitting issues with react effect dependencies. What should I do?


Can you explain react effect dependencies in a practical way?

Recommended approach: Declare all external dependencies in `useEffect` and move unstable callbacks behind `useCallback` when needed.


Best practice for react effect dependencies?


I keep hitting issues with node memory tuning. What should I do?

Practical answer: Profile heap usage, stream large payloads, and cap concurrency to prevent burst-driven memory spikes.


Quick guidance on node memory tuning please.


Can you explain node memory tuning in a practical way?

Short guide: Profile heap usage, stream large payloads, and cap concurrency to prevent burst-driven memory spikes.


Can you explain node api timeout strategy in a practical way?

Short guide: Set connect/read timeouts, implement retries with backoff on safe operations, and enforce overall request deadlines.


How do I handle node api timeout strategy?

Recommended approach: Set connect/read timeouts, implement retries with backoff on safe operations, and enforce overall request deadlines.


Quick guidance on node api timeout strategy please.

Do this: Set connect/read timeouts, implement retries with backoff on safe operations, and enforce overall request deadlines.


I keep hitting issues with node api timeout strategy. What should I do?


Do this: Rebase local feature commits onto updated main, resolve conflicts carefully, then push with `--force-with-lease`.


Can you explain git rebase workflow in a practical way?

Recommended approach: Rebase local feature commits onto updated main, resolve conflicts carefully, then push with `--force-with-lease`.


I keep hitting issues with git rebase workflow. What should I do?


Quick guidance on git cherry-pick usage please.

Do this: Cherry-pick focused commits when backporting fixes and reference original commit hashes for traceability.


Can you explain git cherry-pick usage in a practical way?

Practical answer: Cherry-pick focused commits when backporting fixes and reference original commit hashes for traceability.


Best practice for git cherry-pick usage?


Can you explain git conflict resolution in a practical way?

Recommended approach: Resolve conflicts file-by-file, run tests immediately, and prefer small rebases to reduce merge complexity.


I keep hitting issues with git conflict resolution. What should I do?

Do this: Resolve conflicts file-by-file, run tests immediately, and prefer small rebases to reduce merge complexity.


Quick guidance on git conflict resolution please.


Best practice for git conflict resolution?

Short guide: Resolve conflicts file-by-file, run tests immediately, and prefer small rebases to reduce merge complexity.


Do this: Index columns used in filters and joins, but avoid over-indexing high-write tables due to update overhead.


Can you explain sql indexing in a practical way?

Recommended approach: Index columns used in filters and joins, but avoid over-indexing high-write tables due to update overhead.


Practical answer: Index columns used in filters and joins, but avoid over-indexing high-write tables due to update overhead.


I keep hitting issues with sql indexing. What should I do?


Practical answer: Inspect execution plans, reduce row scans, and push predicates close to data sources.


Quick guidance on sql query optimization please.


I keep hitting issues with sql query optimization. What should I do?

Short guide: Inspect execution plans, reduce row scans, and push predicates close to data sources.


Best practice for sql query optimization?


Quick guidance on sql transaction isolation please.

Do this: Pick isolation based on anomaly tolerance; stronger levels reduce anomalies but can lower concurrency.


How do I handle sql transaction isolation?

Short guide: Pick isolation based on anomaly tolerance; stronger levels reduce anomalies but can lower concurrency.


I keep hitting issues with sql transaction isolation. What should I do?

Practical answer: Pick isolation based on anomaly tolerance; stronger levels reduce anomalies but can lower concurrency.


Can you explain sql transaction isolation in a practical way?


I keep hitting issues with postgres vacuum. What should I do?

Recommended approach: Tune autovacuum and monitor table bloat to keep index and query performance stable over time.


Quick guidance on postgres vacuum please.

Do this: Tune autovacuum and monitor table bloat to keep index and query performance stable over time.


Can you explain postgres vacuum in a practical way?

Practical answer: Tune autovacuum and monitor table bloat to keep index and query performance stable over time.


Short guide: Tune autovacuum and monitor table bloat to keep index and query performance stable over time.


I keep hitting issues with mysql slow queries. What should I do?

Recommended approach: Enable slow query logs, rank by total latency, and optimize highest cumulative-cost queries first.


Can you explain mysql slow queries in a practical way?

Short guide: Enable slow query logs, rank by total latency, and optimize highest cumulative-cost queries first.


I keep hitting issues with redis caching. What should I do?

Do this: Use explicit TTLs, cache stampede protection, and cache invalidation keyed to data ownership boundaries.


Recommended approach: Use explicit TTLs, cache stampede protection, and cache invalidation keyed to data ownership boundaries.


Short guide: Use explicit TTLs, cache stampede protection, and cache invalidation keyed to data ownership boundaries.


Practical answer: Use explicit TTLs, cache stampede protection, and cache invalidation keyed to data ownership boundaries.


Can you explain api pagination in a practical way?

Recommended approach: Use cursor pagination for large mutable datasets to avoid inconsistent page windows with offset pagination.


Quick guidance on api pagination please.


I keep hitting issues with api pagination. What should I do?

Short guide: Use cursor pagination for large mutable datasets to avoid inconsistent page windows with offset pagination.


Can you explain api idempotency in a practical way?

Practical answer: Use idempotency keys for create-like endpoints so client retries do not duplicate side effects.


Quick guidance on api idempotency please.


I keep hitting issues with api idempotency. What should I do?

Short guide: Use idempotency keys for create-like endpoints so client retries do not duplicate side effects.


Recommended approach: Use idempotency keys for create-like endpoints so client retries do not duplicate side effects.


Practical answer: Use short-lived access tokens, rotate refresh tokens, and enforce server-side token revocation checks.


I keep hitting issues with api auth. What should I do?


Can you explain api auth in a practical way?

Recommended approach: Use short-lived access tokens, rotate refresh tokens, and enforce server-side token revocation checks.


Short guide: Version when breaking changes are unavoidable and publish migration notes with deprecation windows.


I keep hitting issues with rest api versioning. What should I do?


Quick guidance on rest api versioning please.

Practical answer: Version when breaking changes are unavoidable and publish migration notes with deprecation windows.


Can you explain grpc vs rest in a practical way?

Practical answer: Use gRPC for low-latency typed internal services; keep REST for broad client compatibility and ecosystem reach.


Do this: Use gRPC for low-latency typed internal services; keep REST for broad client compatibility and ecosystem reach.


Recommended approach: Use gRPC for low-latency typed internal services; keep REST for broad client compatibility and ecosystem reach.


Practical answer: Use slim base images, multi-stage builds, and only copy runtime artifacts into final images.


Quick guidance on docker image size please.

Short guide: Use slim base images, multi-stage builds, and only copy runtime artifacts into final images.


Can you explain docker image size in a practical way?

Recommended approach: Use slim base images, multi-stage builds, and only copy runtime artifacts into final images.


I keep hitting issues with docker image size. What should I do?


Quick guidance on docker security please.

Do this: Run as non-root, scan images in CI, and pin base image digests for reproducible secure builds.


Practical answer: Run as non-root, scan images in CI, and pin base image digests for reproducible secure builds.


I keep hitting issues with docker security. What should I do?


Quick guidance on kubernetes probes please.

Do this: Configure startup, readiness, and liveness probes separately so slow boot does not trigger false restarts.


Short guide: Configure startup, readiness, and liveness probes separately so slow boot does not trigger false restarts.


I keep hitting issues with kubernetes probes. What should I do?


Quick guidance on kubernetes rollout please.

Do this: Use rolling updates with health gates and automatic rollback triggers based on error-rate SLOs.


I keep hitting issues with kubernetes rollout. What should I do?


Practical answer: Use rolling updates with health gates and automatic rollback triggers based on error-rate SLOs.


Can you explain kubernetes rollout in a practical way?


I keep hitting issues with ci cd reliability. What should I do?

Do this: Gate deploys on tests and static checks, and make pipelines deterministic with pinned tool versions.


Recommended approach: Gate deploys on tests and static checks, and make pipelines deterministic with pinned tool versions.


Quick guidance on ci cd reliability please.


Quick guidance on unit testing strategy please.

Practical answer: Test business rules and edge cases; keep mocks narrow and assert observable behavior over internals.


Recommended approach: Test business rules and edge cases; keep mocks narrow and assert observable behavior over internals.


I keep hitting issues with unit testing strategy. What should I do?

Do this: Test business rules and edge cases; keep mocks narrow and assert observable behavior over internals.


Best practice for unit testing strategy?


I keep hitting issues with integration testing. What should I do?

Practical answer: Test real component boundaries like DB plus API to catch contract mismatches early.


Quick guidance on integration testing please.

Short guide: Test real component boundaries like DB plus API to catch contract mismatches early.


Can you explain integration testing in a practical way?

Do this: Test real component boundaries like DB plus API to catch contract mismatches early.


Recommended approach: Test real component boundaries like DB plus API to catch contract mismatches early.


Can you explain flaky tests in a practical way?

Practical answer: Remove timing assumptions, control randomness with seeds, and isolate shared mutable state.


Short guide: Remove timing assumptions, control randomness with seeds, and isolate shared mutable state.


Recommended approach: Remove timing assumptions, control randomness with seeds, and isolate shared mutable state.


I keep hitting issues with flaky tests. What should I do?


Can you explain security sql injection in a practical way?

Do this: Use parameterized queries everywhere and never concatenate untrusted input into SQL text.


Quick guidance on security sql injection please.


I keep hitting issues with security sql injection. What should I do?

Recommended approach: Use parameterized queries everywhere and never concatenate untrusted input into SQL text.


Recommended approach: Escape untrusted output by context and apply a restrictive Content Security Policy.


I keep hitting issues with security xss. What should I do?

Do this: Escape untrusted output by context and apply a restrictive Content Security Policy.


Can you explain security xss in a practical way?


Do this: Use same-site cookies plus CSRF tokens for state-changing browser requests.


I keep hitting issues with security csrf. What should I do?


Can you explain security csrf in a practical way?

Recommended approach: Use same-site cookies plus CSRF tokens for state-changing browser requests.


Practical answer: Use same-site cookies plus CSRF tokens for state-changing browser requests.


Can you explain security secrets management in a practical way?

Short guide: Store secrets in a vault or cloud secret manager, rotate regularly, and never commit them to git.


Best practice for security secrets management?


How do I handle security secrets management?

Do this: Store secrets in a vault or cloud secret manager, rotate regularly, and never commit them to git.


Quick guidance on security secrets management please.

Practical answer: Store secrets in a vault or cloud secret manager, rotate regularly, and never commit them to git.


Quick guidance on observability logging please.

Do this: Emit structured logs with stable keys so dashboards and alerts can aggregate reliably.


Practical answer: Emit structured logs with stable keys so dashboards and alerts can aggregate reliably.


I keep hitting issues with observability logging. What should I do?

Recommended approach: Emit structured logs with stable keys so dashboards and alerts can aggregate reliably.


Can you explain observability logging in a practical way?

Short guide: Emit structured logs with stable keys so dashboards and alerts can aggregate reliably.


Quick guidance on observability tracing please.

Short guide: Propagate trace IDs through service boundaries and sample enough traffic to debug tail latency.


Best practice for observability tracing?


Can you explain observability tracing in a practical way?

Do this: Propagate trace IDs through service boundaries and sample enough traffic to debug tail latency.


I keep hitting issues with observability tracing. What should I do?

Recommended approach: Propagate trace IDs through service boundaries and sample enough traffic to debug tail latency.


Do this: Define SLOs around user outcomes, then alert on error budgets instead of raw CPU or memory thresholds.


Can you explain observability slos in a practical way?

Short guide: Define SLOs around user outcomes, then alert on error budgets instead of raw CPU or memory thresholds.


I keep hitting issues with observability slos. What should I do?


Best practice for system design rate limiting?

Do this: Apply per-user and per-IP limits with burst and sustained windows to protect backend capacity.


How do I handle system design rate limiting?

Practical answer: Apply per-user and per-IP limits with burst and sustained windows to protect backend capacity.


I keep hitting issues with system design rate limiting. What should I do?

Short guide: Apply per-user and per-IP limits with burst and sustained windows to protect backend capacity.


Quick guidance on system design rate limiting please.

Recommended approach: Apply per-user and per-IP limits with burst and sustained windows to protect backend capacity.


Quick guidance on system design queues please.

Do this: Use queues to smooth spikes, add retry policies with dead-letter handling, and track processing lag.


I keep hitting issues with system design queues. What should I do?


Short guide: Use queues to smooth spikes, add retry policies with dead-letter handling, and track processing lag.


Can you explain system design queues in a practical way?


How do I handle system design consistency?

Recommended approach: Choose eventual consistency where latency matters, and reserve strong consistency for critical invariants.


Quick guidance on system design consistency please.


I keep hitting issues with system design consistency. What should I do?

Do this: Choose eventual consistency where latency matters, and reserve strong consistency for critical invariants.


Best practice for system design consistency?


Quick guidance on debugging production incidents please.

Recommended approach: Start with blast-radius reduction, then timeline reconstruction, then root-cause and verified fix rollout.


I keep hitting issues with debugging production incidents. What should I do?

Practical answer: Start with blast-radius reduction, then timeline reconstruction, then root-cause and verified fix rollout.


Best practice for debugging production incidents?


Can you explain debugging production incidents in a practical way?

Short guide: Start with blast-radius reduction, then timeline reconstruction, then root-cause and verified fix rollout.


Quick guidance on incident postmortem please.

Do this: Write blameless postmortems with clear actions, owners, and deadlines tied to measurable risk reduction.


Practical answer: Write blameless postmortems with clear actions, owners, and deadlines tied to measurable risk reduction.


I keep hitting issues with incident postmortem. What should I do?

Short guide: Write blameless postmortems with clear actions, owners, and deadlines tied to measurable risk reduction.


Quick guidance on linux performance please.

Do this: Use `top`, `vmstat`, `iostat`, and `ss` together to separate CPU, memory, disk, and network bottlenecks.


Can you explain linux performance in a practical way?

Recommended approach: Use `top`, `vmstat`, `iostat`, and `ss` together to separate CPU, memory, disk, and network bottlenecks.


I keep hitting issues with linux performance. What should I do?

Short guide: Use `top`, `vmstat`, `iostat`, and `ss` together to separate CPU, memory, disk, and network bottlenecks.


Can you explain http caching in a practical way?

Recommended approach: Leverage `Cache-Control`, ETags, and validation requests to reduce latency and origin load.


I keep hitting issues with http caching. What should I do?

Short guide: Leverage `Cache-Control`, ETags, and validation requests to reduce latency and origin load.


Do this: Leverage `Cache-Control`, ETags, and validation requests to reduce latency and origin load.


Recommended approach: Retry only idempotent operations by default and use exponential backoff with jitter.


I keep hitting issues with http retries. What should I do?


Short guide: Retry only idempotent operations by default and use exponential backoff with jitter.


Practical answer: Model realistic traffic profiles, ramp gradually, and capture latency percentiles plus error modes.


Recommended approach: Model realistic traffic profiles, ramp gradually, and capture latency percentiles plus error modes.


Can you explain load testing in a practical way?


Can you explain feature flags in a practical way?

Practical answer: Use flags for controlled rollout and clean up stale flags quickly to avoid hidden complexity.


I keep hitting issues with feature flags. What should I do?

Do this: Use flags for controlled rollout and clean up stale flags quickly to avoid hidden complexity.


Short guide: Use flags for controlled rollout and clean up stale flags quickly to avoid hidden complexity.


I keep hitting issues with code review quality. What should I do?

Practical answer: Prioritize correctness, security, and maintainability findings before style-level comments.


Quick guidance on code review quality please.

Do this: Prioritize correctness, security, and maintainability findings before style-level comments.


Can you explain code review quality in a practical way?


Recommended approach: Prioritize correctness, security, and maintainability findings before style-level comments.


Can you explain refactoring legacy code in a practical way?

Do this: Add characterization tests first, refactor in small verified steps, and keep behavior stable.


How do I handle refactoring legacy code?

Short guide: Add characterization tests first, refactor in small verified steps, and keep behavior stable.


Best practice for refactoring legacy code?

Practical answer: Add characterization tests first, refactor in small verified steps, and keep behavior stable.


Quick guidance on refactoring legacy code please.


Practical answer: Make migrations backward compatible, deploy code and schema safely, then remove deprecated fields later.


Recommended approach: Make migrations backward compatible, deploy code and schema safely, then remove deprecated fields later.


Can you explain database migrations in a practical way?

Do this: Make migrations backward compatible, deploy code and schema safely, then remove deprecated fields later.


Quick guidance on database migrations please.


Short guide: Use additive changes first, support dual-read/write during transition, and delete old paths only after validation.


Can you explain schema evolution in a practical way?

Do this: Use additive changes first, support dual-read/write during transition, and delete old paths only after validation.


I keep hitting issues with schema evolution. What should I do?

Practical answer: Use additive changes first, support dual-read/write during transition, and delete old paths only after validation.


Quick guidance on schema evolution please.

Recommended approach: Use additive changes first, support dual-read/write during transition, and delete old paths only after validation.


Can you explain message queue idempotency in a practical way?

Recommended approach: Use deduplication keys and idempotent consumers so redelivery does not duplicate effects.


Best practice for message queue idempotency?

Practical answer: Use deduplication keys and idempotent consumers so redelivery does not duplicate effects.


Quick guidance on message queue idempotency please.


How do I handle message queue idempotency?

Do this: Use deduplication keys and idempotent consumers so redelivery does not duplicate effects.


Quick guidance on distributed locks please.

Short guide: Use leases with expirations and fencing tokens; avoid indefinite locks without fail-safe expiration.


Practical answer: Use leases with expirations and fencing tokens; avoid indefinite locks without fail-safe expiration.


I keep hitting issues with distributed locks. What should I do?

Recommended approach: Use leases with expirations and fencing tokens; avoid indefinite locks without fail-safe expiration.


Practical answer: Standardize tooling, keep ownership boundaries clear, and optimize CI with affected-target execution.


Can you explain monorepo strategy in a practical way?

Do this: Standardize tooling, keep ownership boundaries clear, and optimize CI with affected-target execution.


Quick guidance on monorepo strategy please.


Best practice for frontend bundle optimization?

Recommended approach: Code-split by route, lazy-load heavy dependencies, and audit bundle composition regularly.


I keep hitting issues with frontend bundle optimization. What should I do?

Short guide: Code-split by route, lazy-load heavy dependencies, and audit bundle composition regularly.


How do I handle frontend bundle optimization?

Practical answer: Code-split by route, lazy-load heavy dependencies, and audit bundle composition regularly.


Quick guidance on frontend bundle optimization please.


How do I handle web accessibility basics?

Recommended approach: Use semantic HTML, keyboard navigation, and sufficient contrast plus accessible labels.


Quick guidance on web accessibility basics please.

Do this: Use semantic HTML, keyboard navigation, and sufficient contrast plus accessible labels.


I keep hitting issues with web accessibility basics. What should I do?


Can you explain web accessibility basics in a practical way?

Short guide: Use semantic HTML, keyboard navigation, and sufficient contrast plus accessible labels.


I keep hitting issues with oauth flows. What should I do?

Short guide: Use authorization code with PKCE for public clients and keep tokens off URLs and local storage when possible.


Do this: Use authorization code with PKCE for public clients and keep tokens off URLs and local storage when possible.


Can you explain oauth flows in a practical way?


Do this: Keep JWT payload minimal, validate issuer/audience/expiry, and rotate signing keys safely.


I keep hitting issues with jwt usage. What should I do?

Short guide: Keep JWT payload minimal, validate issuer/audience/expiry, and rotate signing keys safely.


Can you explain jwt usage in a practical way?


Can you explain sre on-call hygiene in a practical way?

Short guide: Tune alerts for actionability, document runbooks, and track toil reduction as a core metric.


I keep hitting issues with sre on-call hygiene. What should I do?

Practical answer: Tune alerts for actionability, document runbooks, and track toil reduction as a core metric.


Do this: Tune alerts for actionability, document runbooks, and track toil reduction as a core metric.


Quick guidance on sre on-call hygiene please.


How do I handle cloud cost optimization?

Recommended approach: Right-size instances, schedule non-prod downtime, and track unit economics per workload.


Best practice for cloud cost optimization?

Practical answer: Right-size instances, schedule non-prod downtime, and track unit economics per workload.


Can you explain cloud cost optimization in a practical way?


I keep hitting issues with cloud cost optimization. What should I do?

Short guide: Right-size instances, schedule non-prod downtime, and track unit economics per workload.


Can you explain python concurrency choices in a practical way?

Short guide: Use threads for IO, processes for CPU-bound work, and async for high-concurrency network services.


Best practice for python concurrency choices?

Do this: Use threads for IO, processes for CPU-bound work, and async for high-concurrency network services.


I keep hitting issues with python concurrency choices. What should I do?


How do I handle python concurrency choices?

Practical answer: Use threads for IO, processes for CPU-bound work, and async for high-concurrency network services.


Quick guidance on python testing fixtures please.

Recommended approach: Use fixtures for reusable setup and keep them small so tests remain explicit and understandable.


How do I handle python testing fixtures?

Do this: Use fixtures for reusable setup and keep them small so tests remain explicit and understandable.


Can you explain python testing fixtures in a practical way?


I keep hitting issues with python testing fixtures. What should I do?


How do I handle javascript memory leaks?

Do this: Clean up timers and event listeners on unmount and avoid retaining stale closures.


I keep hitting issues with javascript memory leaks. What should I do?

Practical answer: Clean up timers and event listeners on unmount and avoid retaining stale closures.


Quick guidance on javascript memory leaks please.


Best practice for javascript memory leaks?


Recommended approach: Use controlled inputs for validation-heavy forms and uncontrolled inputs for very large low-coupling forms.


Quick guidance on react form state please.

Practical answer: Use controlled inputs for validation-heavy forms and uncontrolled inputs for very large low-coupling forms.


I keep hitting issues with react form state. What should I do?

Short guide: Use controlled inputs for validation-heavy forms and uncontrolled inputs for very large low-coupling forms.


Can you explain react form state in a practical way?


Short guide: Keep transactions short, access rows in consistent order, and implement safe retry logic.


Can you explain sql deadlocks in a practical way?

Practical answer: Keep transactions short, access rows in consistent order, and implement safe retry logic.


Do this: Keep transactions short, access rows in consistent order, and implement safe retry logic.


I keep hitting issues with sql deadlocks. What should I do?


Quick guidance on postgres indexing jsonb please.

Short guide: Use GIN indexes for containment queries on JSONB and avoid broad unselective index expressions.


I keep hitting issues with postgres indexing jsonb. What should I do?


How do I handle postgres indexing jsonb?

Practical answer: Use GIN indexes for containment queries on JSONB and avoid broad unselective index expressions.


Can you explain postgres indexing jsonb in a practical way?

Recommended approach: Use GIN indexes for containment queries on JSONB and avoid broad unselective index expressions.


Quick guidance on api schema contracts please.

Do this: Publish machine-readable contracts and run consumer/provider contract tests in CI.


Short guide: Publish machine-readable contracts and run consumer/provider contract tests in CI.


Can you explain api schema contracts in a practical way?


Best practice for kubernetes resource limits?

Practical answer: Set requests based on observed baseline and limits to prevent noisy-neighbor exhaustion.


Can you explain kubernetes resource limits in a practical way?

Do this: Set requests based on observed baseline and limits to prevent noisy-neighbor exhaustion.


I keep hitting issues with kubernetes resource limits. What should I do?


Quick guidance on kubernetes resource limits please.


Best practice for docker compose dev workflow?

Do this: Use compose profiles for optional services and mount source for rapid inner-loop feedback.


How do I handle docker compose dev workflow?

Practical answer: Use compose profiles for optional services and mount source for rapid inner-loop feedback.


I keep hitting issues with docker compose dev workflow. What should I do?


Quick guidance on docker compose dev workflow please.


I keep hitting issues with grpc error handling. What should I do?

Short guide: Map domain errors to canonical status codes and include structured metadata for debuggability.


Practical answer: Map domain errors to canonical status codes and include structured metadata for debuggability.


Quick guidance on grpc error handling please.


Recommended approach: Map domain errors to canonical status codes and include structured metadata for debuggability.


I keep hitting issues with mobile api latency. What should I do?

Practical answer: Minimize round trips, compress payloads, and batch requests where it improves user-perceived speed.


Can you explain mobile api latency in a practical way?


Quick guidance on mobile api latency please.

Short guide: Minimize round trips, compress payloads, and batch requests where it improves user-perceived speed.


Recommended approach: Minimize round trips, compress payloads, and batch requests where it improves user-perceived speed.


Can you explain cache invalidation in a practical way?

Do this: Invalidate based on ownership events and TTL fallback; avoid global cache clears during normal operations.


I keep hitting issues with cache invalidation. What should I do?

Short guide: Invalidate based on ownership events and TTL fallback; avoid global cache clears during normal operations.


Best practice for search relevance tuning?

Practical answer: Tune analyzers and ranking features with labeled queries, then evaluate offline and online metrics.


I keep hitting issues with search relevance tuning. What should I do?

Short guide: Tune analyzers and ranking features with labeled queries, then evaluate offline and online metrics.


Can you explain search relevance tuning in a practical way?


Quick guidance on search relevance tuning please.


Quick guidance on ai model serving basics please.

Recommended approach: Separate online inference from training jobs, cache prompts where safe, and monitor latency plus drift.


How do I handle ai model serving basics?

Do this: Separate online inference from training jobs, cache prompts where safe, and monitor latency plus drift.


I keep hitting issues with ai model serving basics. What should I do?

Practical answer: Separate online inference from training jobs, cache prompts where safe, and monitor latency plus drift.


Can you explain ai model serving basics in a practical way?


Can you explain feature store hygiene in a practical way?

Recommended approach: Version features, document lineage, and enforce train-serving consistency checks.


I keep hitting issues with feature store hygiene. What should I do?

Do this: Version features, document lineage, and enforce train-serving consistency checks.


Best practice for feature store hygiene?

Short guide: Version features, document lineage, and enforce train-serving consistency checks.


Can you explain data pipeline retries in a practical way?

Do this: Use checkpointing and idempotent writes so retries recover safely without duplicate records.


Best practice for data pipeline retries?


Short guide: Use checkpointing and idempotent writes so retries recover safely without duplicate records.


Quick guidance on data pipeline retries please.


Recommended approach: Define freshness, completeness, and validity checks and fail fast when thresholds are breached.


Quick guidance on etl data quality please.


I keep hitting issues with etl data quality. What should I do?

Do this: Define freshness, completeness, and validity checks and fail fast when thresholds are breached.


Practical answer: Store timestamps in UTC, convert at presentation boundaries, and include timezone-aware parsing/formatting.


Quick guidance on time zone bugs please.

Do this: Store timestamps in UTC, convert at presentation boundaries, and include timezone-aware parsing/formatting.


I keep hitting issues with time zone bugs. What should I do?

Recommended approach: Store timestamps in UTC, convert at presentation boundaries, and include timezone-aware parsing/formatting.


Short guide: Store timestamps in UTC, convert at presentation boundaries, and include timezone-aware parsing/formatting.


Short guide: Normalize text where required and test with multilingual and emoji inputs to avoid hidden parsing bugs.


Quick guidance on unicode handling please.

Do this: Normalize text where required and test with multilingual and emoji inputs to avoid hidden parsing bugs.


Can you explain unicode handling in a practical way?


Practical answer: Provide clear help text, predictable exit codes, and machine-readable output options like JSON.


Recommended approach: Provide clear help text, predictable exit codes, and machine-readable output options like JSON.


Quick guidance on cli tool design please.


Can you explain cli tool design in a practical way?


Quick guidance on configuration management please.

Recommended approach: Separate config from code, validate config on startup, and fail clearly on invalid settings.


Best practice for configuration management?


Can you explain configuration management in a practical way?

Do this: Separate config from code, validate config on startup, and fail clearly on invalid settings.


I keep hitting issues with configuration management. What should I do?


Do this: Use health-checked service registry entries and client-side retries with jitter for transient failures.


I keep hitting issues with service discovery. What should I do?


Quick guidance on service discovery please.

Short guide: Use health-checked service registry entries and client-side retries with jitter for transient failures.


Can you explain zero-downtime deploys in a practical way?

Do this: Use rolling or blue-green deployment with readiness checks before shifting traffic.


I keep hitting issues with zero-downtime deploys. What should I do?

Recommended approach: Use rolling or blue-green deployment with readiness checks before shifting traffic.


Short guide: Use rolling or blue-green deployment with readiness checks before shifting traffic.


Quick guidance on zero-downtime deploys please.


I keep hitting issues with circuit breaker. What should I do?

Recommended approach: Open the breaker on sustained failure rates and use half-open probes to restore traffic gradually.


Can you explain circuit breaker in a practical way?

Do this: Open the breaker on sustained failure rates and use half-open probes to restore traffic gradually.


Short guide: Open the breaker on sustained failure rates and use half-open probes to restore traffic gradually.


Best practice for backpressure handling?

Short guide: Propagate backpressure signals across boundaries and shed noncritical load before saturation.


I keep hitting issues with backpressure handling. What should I do?

Practical answer: Propagate backpressure signals across boundaries and shed noncritical load before saturation.


Can you explain backpressure handling in a practical way?


My API is slow in production. What first checks should I run?

Start with request timing breakdowns, database query latency, and external dependency timings. Identify whether the bottleneck is CPU, IO, lock contention, or network, then optimize the highest-impact hotspot first.


How should I debug a failing CI pipeline quickly?

Re-run the failing job with verbose logs, isolate the first failing step, compare environment/tool versions, and reproduce locally with the same command. Fix root cause first, then add guard checks to prevent recurrence.


Use pre-deploy tests, schema compatibility checks, staged rollout, health probe validation, error-rate monitoring, and a tested rollback path. Do not deploy without observability and on-call coverage.


Use parameterized statements, least-privilege DB roles, strict input validation, and query timeouts. Never build SQL by concatenating untrusted input.