René's URL Explorer Experiment

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  "description": "Move from vibe coding to agentic engineering in Python, using tests, types, and code review to prove an AI agent's changes are safe to keep.",
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          "text": "\u003cp\u003eAgentic engineering is a disciplined way of delegating bounded coding tasks to \u003ca href=\"/ref/ai-coding-glossary/agent/\" class=\"ref-link\"\u003eAI agents\u003c/a\u003e while you keep control over intent, constraints, review, and release decisions. The agent handles execution inside clear boundaries, but you decide whether the resulting diff has enough evidence to belong in your codebase.\u003c/p\u003e"
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          "text": "\u003cp\u003eReview at meaningful checkpoints rather than after every small agent action, and then apply the RECAP method once the agent produces a candidate diff. RECAP prompts you to check the code\u0026rsquo;s role, edges, contracts, assumptions, and proof, so you accept a patch because of its behavior and evidence rather than because it looks right.\u003c/p\u003e"
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          "text": "\u003cp\u003eThe Engineering Evidence Ladder is an eight-level scale that names the evidence you\u0026rsquo;ve gathered for a piece of code, from a raw prompted block at the bottom to fully integrated code at the top. Each step upward adds explicit evidence such as understanding, tests, type checks, and project standards, so a single successful run doesn\u0026rsquo;t carry too much weight.\u003c/p\u003e"
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          "text": "\u003cp\u003eVibe coding works well when you want to explore a new idea, test whether something is possible, or build a low-stakes prototype. It gets risky for code you plan to keep, since it usually asks only whether you can get a plausible result quickly rather than whether the code is correct and maintainable.\u003c/p\u003e"
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