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Starting with Agentic AI

The author shares his experience using agentic AI for programming since late 2025, detailing effective uses in code review, codebase exploration, conversion, merge conflict resolution, test fixing, bug fixing, writing tests, lint fixing, documentation, repetitive tasks, static typing, large refactors, profiling, AI configuration, one-off scripts, webpages, and issue triage. He also discusses limitations, concerns (legal, security, review time), and provides tips for getting started and advanced usage.

SourceHacker News AIAuthor: elashri
Starting with Agentic AI
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Summary only

Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • Agentic AI excels at repetitive and time-consuming programming tasks like merge conflicts, test fixes, and adding types.
  • AI works best iteratively—users should refine prompts rather than expect one-shot results.
  • Legal and security considerations are important: always credit AI as "Assisted-by", avoid granting AI broad access.
  • AI does not automatically follow best practices; users must provide explicit instructions and use linters/type checkers.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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