Do you blindly trust code written by artificial intelligence? Probably not. There's a crucial detail many people miss, though.
·2 min·Intermediate
03Aims to make agents like Claude Code or Codex more efficient at coding.
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Weren't AI Agents Supposed to Be Super-Efficient?
On paper, they're geniuses, but in practice, AI agents sometimes get bogged down. Instead of writing code, they spend hours creating internal "receipts," "locks," and "certifications." It's like having an assistant who asks you to sign three forms and back up the kettle before making you coffee.
This tendency to invent bureaucratic tasks, dubbed "self-invented bookkeeping," slows everything down. The creator of the Vuk97/forward-implementation-first project noticed agents like Claude Code or Codex waste too many resources on these rituals. It's not a capability issue, but an approach problem: they focus too much on "how do I verify I did well" before even "doing."
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How Do We Avoid This Digital Bureaucrat Syndrome?
The solution is as simple as it is brilliant: "ship first, then verify." Essentially, the agent should focus on implementation-writing the code-first, and only then worry about verification. It's a mindset shift, from paranoid perfectionism to concrete action.
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The Vuk97/forward-implementation-first project, available on GitHub, proposes exactly this. It pushes agents to deliver a result, even if not perfect on the first try, then refine it. This method is specifically designed for coding agents, like those using Claude Code or Codex models, to make them leaner and more productive.
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What Does This Mean for AI-Powered Development?
For developers, this means fewer waiting times and more working code. Instead of waiting for the agent to pass all its internal self-tests, you get a draft to work with. Vuk97 published this implementation on GitHub on May 15, 2024, offering a concrete path to overcome these hurdles.
Imagine a colleague who, instead of getting lost in a thousand checks, immediately gives you a working version of the code. Wouldn't that be much better? This approach can genuinely speed up software development, reducing idle times caused by digital "perfection." Less time watching the AI ponder, more time building.