# Roadmap This roadmap keeps Awesome Loop Engineering focused on useful, verifiable work for an emerging practice. ## Near Term - Collect more direct Loop Engineering sources as the term stabilizes. - Add real or anonymized gallery entries from practitioners running recurring agent loops. - Grow the runnable loop directory beyond the test-repair reference loop, including scheduled-trigger variants per runtime. - Add more translations for the introduction, mental model, Loop Contract, and contribution guide. - Continue replacing weak or unstable links with primary sources, official docs, papers, and implementation-heavy write-ups. ## Pattern Library Completed reference patterns now cover PR babysitting, CI repair, docs drift, deploy verification, feedback clustering, dependency triage, evaluation regression, security review, cost-control, and bug hunting. Every pattern now ships a schema-validated loop contract in `examples/`. Next pattern-library work should focus on variants backed by operational evidence: - enterprise approval loops for permissioned agents; - incident response loops with pager handoff and postmortem evidence; - data-quality loops for repeated dataset or knowledge-base refresh; - release-note loops that connect commits, issues, docs, and changelogs; - model-routing loops that balance quality, latency, privacy, and cost. ## Gallery The gallery should grow from reference examples into public or anonymized case studies. Good entries should include: - the runtime or agent tool used; - trigger and intake source; - verification gates; - durable state artifact; - budget and escalation rules; - receipts or anonymized evidence; - lessons learned after real use. ## Quality And Governance - Keep CI dependency-light and easy for contributors to run locally. - Keep all resource annotations tied to recurring agent systems, not generic AI-agent interest. - Keep public claims conservative: this repository is an early curated field guide, not a finished standard. - Preserve clean owner-only commit identity for `main`. ## Open Questions - Which loop primitives become common across Codex, Claude Code, GitHub Agentic Workflows, and custom runtimes? - What is the right schema shape for portable loop contracts? - Which verification gates are strong enough for unattended or semi-attended loops? - How should maintainers evaluate submitted real-world loop examples without exposing private data?