feat: gate pilot — LLM at batch decision boundaries#1
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Adds a gate pilot that replaces the simple replan() call after batch failures. The pilot reads disk artifacts (verify logs, QA verdicts, task summaries, learnings) and returns structured decisions: failure analysis, retry strategies, routed context for upcoming tasks, skip recommendations, and re-batching. Key design: - Stateless: reconstructs context from files each invocation - No telephone game: pilot makes system-level decisions, coding agents interpret their own errors directly - Structured JSON output, orchestrator validates and applies - Same model as planner (configurable via planner_model) - Falls back to replan() on parse failure - Config flag: pilot: false in otto.yaml to disable - Zero overhead when no failures (pilot only invoked at batch boundary with failures + remaining tasks) Codex-reviewed: 3 rounds, all CRITICAL/IMPORTANT findings fixed, APPROVED. Benchmark: 53 tasks across 18 runs, 0 regressions, 0 pilot overhead. Pilot not yet validated on real failures — shipping as safe no-op upgrade for i2p readiness. Will prove value at scale (5+ tasks, multiple batches). New files: - otto/pilot.py — context assembly, LLM invocation, decision parsing - tests/test_pilot.py — 22 unit tests - tests/test_pilot_benchmark.py — 6 scenario benchmark tests - bench/pilot-benchmark.sh — A/B benchmark runner - bench/pressure/projects/pilot-test-* — 3 synthetic test projects Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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✨ Finishing Touches🧪 Generate unit tests (beta)
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Supersedes the gates + gate pilot approach. Simplified to 5 steps: classify → plan → execute → verify → fix-or-replan. Key decisions: - Single-task is a valid plan (no forced decomposition) - Product artifacts at project root (not otto_arch/) - Persistent context.md accumulates across tasks - Vertical slices over horizontal layers - User journeys from user's perspective, not feature list - Fix rounds continue while making progress, replan on planning failures - Codex-reviewed design Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
replan()after batch failures with richer failure analysis, retry strategies, context routing, and skip recommendationsreplan()on failure. Config flagpilot: falseto disable. Zero overhead when no failures.Status: NOT validated on real failures
The pilot never fired during benchmarking because the coding agent passed all tasks. This is expected — the pilot's value is at i2p scale (8+ tasks, multiple batches, partial failures). Shipping as a safe no-op upgrade.
What's new
otto/pilot.pyotto/orchestrator.pyotto/runner.pytests/test_pilot.pytests/test_pilot_benchmark.pybench/pilot-benchmark.shbench/pressure/projects/pilot-test-*Design docs
docs/superpowers/specs/2026-03-29-gate-pilot.mddocs/superpowers/plans/2026-03-29-gate-pilot-stage1.mddocs/superpowers/specs/2026-03-26-otto-intent-to-product.mdTest plan
pilot.logon next failure.🤖 Generated with Claude Code