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automagik-genie

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Self-evolving AI agent orchestration framework with Model Context Protocol support

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# Genie Dev Roadmap The genie-dev branch is the laboratory for Genie’s self-improvement program. Phases are sequenced to keep downstream adopters safe while we iterate quickly. ## Phase 0 — Baseline Capture (✅ complete) - Neutralize template placeholders and document the current mission, tech stack, and guardrails - Inventory existing behavioural learnings and confirm they are enforced across agents - Establish `pnpm run build:genie` + smoke tests as the minimum verification gate ## Phase 1 — Instrumentation & Telemetry (in progress) - Treat the wish **Evidence Checklist** as the gating deliverable before other instrumentation tasks proceed (see ). - Add branch-specific checklists to every wish to log evidence paths and validation commands - Expand done-report coverage so each experiment stores scope, risks, and follow-ups - Wire CLI diagnostics to surface missing sessions or misconfigured presets ## Phase 2 — Guided Self-Improvement - Author wishes that target prompt quality, guardrail clarity, and CLI usability - Pair each wish with twin audits and validation scripts before merging back to `main` - Promote validated learnings into `.genie/instructions/` and agent briefs ## Phase 3 — Adoption Kits for Downstream Repos - Package upgrade notes, migration diffs, and rollback guidance for every major change - Publish branch-to-main release checklist (Plan → Wish → Forge coverage, tests, done report link) - Partner with pilot teams to trial upgrades and capture their feedback in structured templates ## Phase 4 — Automation & CI Integration - Land GitHub Actions pipeline that runs build + smoke tests and attaches artefacts to PRs - Add regression checks for behavioural rules (learn, guardrail compliance) - Introduce metrics capture (latency, wish completion velocity) with reporting hooks ## Success Metrics - 100% of genie-dev wishes include validation commands and evidence links - Smoke suite (`pnpm run test:genie`) passing before merge on every PR - Documented learnings promoted within 48 hours of validation - Downstream adopters report <5% rollback rate on genie-dev releases ## Dependencies & Enablers - Maintainers available for twin reviews and manual approvals - Access to GPT-5 class models (configurable via `GENIE_MODEL`) - Stable sandboxed environment mirroring production guardrails ## Risk Log (actively monitored) - **Automation drift:** self-improvement scripts may bypass approval gates → mitigate with review checklist baked into wishes - **Telemetry gaps:** missing evidence makes regression root-cause harder → mitigate by enforcing done report template updates - **Adopter fatigue:** too many upgrades without guides → mitigate by bundling changes into release kits with opt-in toggles