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Developer shares 'Done means' technique for AI coding agents

By PulseAugur Editorial · [1 sources] ·

A developer has shared a technique called "Done means" to improve the interaction between human developers and AI coding agents. This method involves creating a numbered list of specific, verifiable outcomes that must be met before the AI's code is accepted. This process helps ensure the AI's output aligns with the developer's intent and project context, moving critical decision-making to the beginning of the development cycle and streamlining the review process. AI

IMPACT This technique could help developers better manage and direct AI coding assistants, ensuring code quality and alignment with project goals.

RANK_REASON Developer shares a personal technique for using AI coding tools.

Read on dev.to — Claude Code tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer shares 'Done means' technique for AI coding agents

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5 / 100
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Developer shares a personal technique for using AI coding tools.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, other
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — Claude Code tag TIER_1 English(EN) · Max Ritter ·

    The list I write before my coding agent touches anything

    <p>Coding agents write most of my code now. Even the best models still don't build software the way an experienced engineer would. They don't know the users, the history of the codebase or what the team considers good design. An engineer settles those questions before writing cod…

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