Smart TODO Action – AI-Powered Inline TODO

v1.0.6

chore(release): bump version [skip ci]

v1.0.5

chore(release): bump version [skip ci]

v1.0.4

Release version 1.0.4

Smart TODO Action – AI-Powered Inline TODO

Smart TODO Action scans your repo for inline markers (e.g. TODO, FIXME, BUG, HACK) and automatically converts them into structured GitHub Issues. You can opt in to use any LLM provider—OpenAI, Cohere, Anthropic, etc.—to enrich or summarize your task comments, extract metadata (priority, due date, assignee) via natural-language understanding, and even suggest labels or milestones. The action still works in a purely regex-driven mode if you prefer not to connect an LLM.

Key Features

• Multi-language support: Detects comments in .js, .ts, .py, .go, .html, and more.

• LLM integration (optional):

1. Configure LLM_PROVIDER and API_KEY to connect OpenAI, Cohere, Anthropic, or any compatible endpoint.
2. Auto-summarize comment text into issue bodies.
3. Infer metadata (priority, due: YYYY-MM-DD, assignees) from free-form comments.
4. Suggest or auto-apply labels based on content.

• Metadata parsing: Recognizes priority:, due:, assignees: when written directly in comments.

• Configurable batching: Group issue creation up to a limit you set, to avoid API rate limits.

• Markdown report: Generate a consolidated report of all findings for audits or reviews.

• Jira integration: Push parsed tasks into Jira projects instead of GitHub Issues.

Why Use Smart TODO Action?
Manual task tracking drifts apart from your code comments. With optional AI assistance, you get richer, more consistent issues—summaries, labels, and deadlines—without writing extra metadata. Enable LLM mode for natural-language parsing, or stick with regex-only mode for maximum simplicity. Either way, never lose track of a TODO again.