Second Look 0.5.0 — first public beta

Give old AI work a new model without losing the original problem. Second Look preserves intent, selects worthwhile revisits under a budget, and compares patches, reframed revisions and clean-slate implementations against frozen checks.

Open the no-key demo · Quickstart · 한국어

This first public beta includes local installation diagnostics, acceptance capture without JSON for simple text requirements, portable sharing, and a persistent problem library. Default shared summaries exclude source, prompts, private paths and raw receipts; intent/screenshots are opt-in.

python3 -m venv .venv
source .venv/bin/activate
python -m pip install 'https://github.com/mandu5/secondlook/releases/download/v0.5.0/secondlook_revisit-0.5.0-py3-none-any.whl'
python -m playwright install chromium
secondlook doctor
secondlook demo --offline --output ./first-look

Open first-look/report.html. The synthetic reference demonstration uses real browser checks and zero model calls (3/8 → 8/8). See the actual model trials and evaluation correction for measured live evidence.

Execution currently supports trusted static HTML/CSS/JS through Claude Code CLI on macOS/Linux. Other providers, backends and arbitrary repository execution are not supported. Budget stops are best effort; reported costs are API-equivalent. This release makes no SOTA, causal model-uplift or general token-savings claim.

Validation: 202 local tests, 20 relevant tests after a tooltip-only correction, clean installed-wheel smoke, and 1440/390/320-pixel browser checks. Independent review found no Critical/Important issue; its single minor presentation issue was fixed. No paid model calls were added for this release. Public gates passed: Linux Python 3.11/3.12/3.13 and macOS Python 3.12 each passed 202 tests. Main and tag CI are green. Eleven deployed files and all four initial release assets matched local bytes over anonymous HTTPS. Public desktop/mobile report interactions and installation directly from the release URL were verified. See the attached release-verification.json for exact commit, hashes and CI URLs.

MIT license. Compare downloaded wheel/source archives against SHA256SUMS. The named source ZIP contains the full audited public tree; the Python sdist contains packaging inputs. Private pre-release history and raw personal-project evidence are excluded.