[009] Configure automated changelog generation

[konard]

Summary

• Add a changelog generator that builds reviewed release notes from merged pull requests.
• Add npm scripts for previewing, writing, and checking changelog entries.
• Wire changelog preview into release validation CI and document the manual review workflow.

Issue

Fixes #38

Tests

• npm test
• npm run validate:foundation
• npm run validate:release
• npm run changelog:check

Risk

• The generator reads merged pull request metadata through GitHub CLI; maintainers still review generated notes before publication.

Screenshots or recordings

Not applicable.

Security and privacy

• This PR does not include secrets, production credentials, access tokens, Telegram API hashes, private keys, or private message content.
• Generated release notes include an explicit privacy review gate before publication.

[konard]

Solution summary

Implemented and pushed the changelog workflow for issue #38.

PR: #79

What changed:

• Added scripts/generate-changelog.mjs and src/foundation/changelog.mjs.
• Added CHANGELOG.md with generated, reviewed 0.1.0 notes linking merged PRs and referenced issues.
• Added npm scripts: changelog, changelog:write, changelog:check.
• Wired changelog preview into release validation CI with GH_TOKEN.
• Documented the manual review workflow in docs/release-strategy.md.
• Added automated tests for grouping, issue links, redaction, and changelog insertion.

Validation:

• npm test passed.
• npm run validate:foundation passed.
• npm run validate:release passed.
• npm run changelog:check passed.
• GitHub CI is passing on head SHA 2ee1aee050f49c84c8d829f2804bcbdbf48c7870.
• PR is ready for review and mergeable cleanly.

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This summary was automatically extracted from the AI working session output.

[konard]

🤖 Solution Draft Log

This log file contains the complete execution trace of the AI solution draft process.

💰 Cost estimation:

• Model: GPT-5.5
• Provider: OpenAI
• Public pricing estimate: $3.704347

📊 Context and tokens usage:

• 2.1M / 1.1M (196%) input tokens, 12.4K / 130K (10%) output tokens

Total: (120.5K + 1.9M cached) input tokens, 12.4K output tokens, $3.704347 cost

🤖 Models used:

• Tool: OpenAI Codex
• Requested: gpt-5.5
• Model: GPT-5.5 (gpt-5.5)

📎 Log file uploaded as Gist (19654KB)

• View complete solution draft log

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Now working session is ended, feel free to review and add any feedback on the solution draft.