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Matthew Berman26m

I figured out the best way to vibe code

TL;DR

  • Experts automate the whole coding loop: Matthew Berman says the real jump from beginner to expert is moving from manual prompting to systems that trigger agents automatically and keep running until a defined goal is met.

  • Skills are the core reusable building block: His rule is simple, if you do something more than once, turn it into a skill, whether that is auto-review, test commands, GitHub issue formatting, or API-specific instructions.

  • Greptile becomes an AI code reviewer with a confidence score: In his workflow, Greptile reviews every PR, summarizes changed files, scores merge confidence from 0 to 5, flags issues, and even generates prompts an agent can use to fix them.

  • Loops make maintenance work continuous instead of manual: He shares concrete loops like an overnight docs sweep, a nightly production error sweep, and a performance loop that kept optimizing until every page, modal, and sidebar loaded under 50 ms.

  • Cloud agents win when you run 10 to 30 agents in parallel: Berman likes local agents for speed and control, but says cloud agents are better for isolation, parallelism, and remote access, especially when his computer otherwise slows to a crawl.

  • Merging and deploys are still a mess at agent scale: Even after talking with OpenAI, Cursor, and top agentic engineers, he says parallel PRs rebasing and re-triggering CI is still an unsolved bottleneck, with batch commits as only a partial workaround.

The Breakdown

The best AI coders are not sitting in a prompt-review-prompt loop. They are wiring agents into skills, automations, and long-running loops that fix PR comments, sweep production logs, and even force every page in an app under 50 ms.

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