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Python Tool Uses AI to Convert Git Commits into Structured Changelogs

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A developer has released a Python example project that automates changelog creation by processing git commit messages or diffs through Telnyx AI Inference. The Flask-based application exposes several API endpoints, accepting commit data and returning structured JSON grouped into sections such as Features, Bug Fixes, and Breaking Changes. Structured JSON output makes the generated changelogs reusable across workflows, including docs sites, Slack notifications, PR comments, and human-approval pipelines. The tool stores changelogs in memory with unique IDs, allowing users to list or retrieve past entries. The open-source example is available on GitHub and is designed to serve as a starting point for more advanced integrations like CI pipelines or GitHub-connected release workflows.

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