# AIDebug v1.1.0 Release Notes

Release date: 2026-06-15

## Summary

AIDebug v1.1.0 is a maturity and evidence release. It does not claim that the
project is broadly adopted yet; it makes the project easier for maintainers,
packagers, malware analysts, and curated-list reviewers to evaluate.

## What Changed

- Added reviewer-facing documentation for safety, validation, comparisons,
  sample evidence, and curated-list resubmission readiness.
- Added safe mock outputs for JSON, YARA, and HTML report review.
- Added screenshots that show the TUI, behavioral patterns, CFG view, pattern
  detection output, and four-panel workflow.
- Expanded deterministic tests for pattern detection and JSON export.
- Clarified that ATT&CK mappings, YARA rules, and reports are analyst-review
  seed material, not final operational truth.

## Reviewer Evidence

- `README.md`: maturity evidence table, screenshots, install flow, limitations.
- `docs/sample-evidence.md`: safe inputs, mock outputs, screenshots, packaging
  evidence.
- `docs/validation-plan.md`: validation plan and quality checks.
- `docs/safety-model.md`: safe usage boundaries.
- `docs/curated-list-resubmission-plan.md`: what must improve before
  resubmitting to strict curated lists.

## Verification

```bash
python3 -m pytest -q
python3 -m build
python3 -m twine check dist/*
```

Expected test result for this release: `7 passed`.

## Known Limits

- The project is still young and should not be resubmitted to strict curated
  lists until there is more release history, external usage evidence, and
  regular maintenance signal.
- Dynamic analysis must be run only in an isolated, authorized malware-analysis
  lab.
- AI-backed output requires analyst validation before detection or reporting
  use.
