This release adds 5 notable features for engineering teams evaluating rollout.
Published 14d
Developer Productivity
✓ No known CVEs patched
✓ No known CVEs patched in this version
Summary
AI summaryIntroduces source‑trust ranking, action outcome modeling, sharper verification techniques, prose acceptance criteria, and core feature pillars.
Full changelog
Make the model's own claims trustworthy, then start catching the defects a green model used to hide.
Highlights
- Source trust & extraction completeness — rank sources by authority (contradictions resolve by weight, not reading order), record two that disagree as a first-class conflict, stage behavior candidates before committing them, and measure the share of each source that actually reached the model (
get_source_coverage). - Model what actually happens — first-class action outcomes (declined, timed out, partial), external dependencies + the
invoke_operationeffect with their timeout/retry/idempotency contract, event delivery guarantees (arequiredhandler failure fails the emitter;transactionalrolls it back), and scoped invariant relaxation for repair actions. - Sharper verification — bounded model checking now explores parameter domains (not just defaults), an honest confidence matrix in
score_feature(the weakest dimension is the headline), decision-table analysis inget_spec_gaps, and an evidence-firstunspa check --strictgate. - Feature-level prose acceptance criteria — capture Given/When/Then edge cases as documentation, the honest complement to model-checked scenarios: rendered, searchable, carried in the model, but never simulated or scored.
- Core features — declare a project's product pillars once and group features under them precisely: a reserved
core:tag backed by a project-level registry, so you filter by core feature instead of by a sea of tags.
Full detail in CHANGELOG.md.
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