Four changes that move judgment off the LLM and into the dispatcher,
motivated by the live PR #30 escalation pilot (2026-05-12): Tier 0
spent 16 min and gave up on flaky-looking unrelated tests; Tier 2
spent 88 min discovering the PR was already correct and only needed
two compliance entries. Together these collapse the typical
"PR is correct, only needs compliance fixups" case from 88 min on
Kimi to ~5 min on gpt-5-mini at Tier 0.
- Outcome-JSON synthesis in dispatch_implementer
(_synthesize_outcome_if_missing): synthesises a concrete outcome
from terminal_state when the worker emits no contract JSON,
routing the escalation predicate to ESCALATE instead of UNKNOWN.
- Diff-aware gate parser (_diff_aware_gate.py): pure-Python
classifier that splits failing BDD scenarios into related vs.
unrelated to the PR's changed files via a feature-stem heuristic.
- Flaky-test pre-flight (_implementer_gate_preflight.py): runs
local_ci_gate.sh --fast twice and surfaces only the persistent
failures. Off-by-default behind IMPLEMENTER_DISPATCHER_GATE_PREFLIGHT.
- Compliance gap detector (_implementer_compliance.py): deterministic
check of CHANGELOG / CONTRIBUTORS / commit-footer / worktree-clean
state. Result is embedded as a "Compliance gap report" stanza so
the agent fills in known gaps instead of discovering them.
Both prompt stanzas are appended via _append_deterministic_stanzas,
flag-gated, skipped in dry-run, and skipped when no preclone exists.
Flag-off path is byte-equivalent to the pre-feature build.
Suite: 1382 passed, 3 skipped (+59 new tests over 4 modules).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
drew
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