Loop Engineering is a free, no-signup toolkit for designing the system around an AI agent — not just the prompt. Describe a task and it generates copyable /goal prompts for Claude Code & Codex, a runnable continuous-claude command, and a safe GitHub Actions skeleton. It also has a token-cost calculator, a loop readiness score, AGENTS.md/SKILL.md generators, templates, and a failure-case library. Everything runs in your browser — nothing uploaded or executed.
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Maker
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Hey hunters! I kept hand-prompting coding agents turn by turn — and watching them delete tests to make CI green, burn tokens with no progress, or merge broken PRs. So I built Loop Engineering: free, in-browser tools to design the loop around an agent (goal, validation, boundaries, stop rule, budget, feedback) instead of babysitting it.
You describe a task and it generates copyable /goal prompts for Claude Code & Codex, a continuous-claude command, and a safe GitHub Actions skeleton — plus a token-cost calculator, a readiness score, AGENTS.md/SKILL.md generators, loop templates, and a "ways loops fail" library.
It's free, no sign-up, and runs entirely in your browser — nothing is uploaded or executed. Would love your feedback on the templates and the cost model 🙏
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How does the loop readiness score actually work behind the scenes, is it a fixed rubric or does it adapt based on the task you describe?
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Maker
@cemalbxto Good question. Right now it’s a fixed weighted rubric, not an AI-generated score. Yes, Partial, and No give full, half, or zero points for each check. I kept it predictable on purpose, so you can see exactly why you got a certain score. It doesn’t adapt to the task type yet, but I’m thinking about that for a future version.
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browser-only and no signup is a nice touch, actually used the failure-case library to tighten up one of my agent loops and it caught a dumb retry loop i hadn't noticed
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Maker
@dndkarlarrhd2 Honestly, this made my day. Those dumb retry loops are so easy to miss until they start eating time and tokens. Really glad the failure-case library helped you catch it. Thanks for giving it a proper try!
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the failure-case library is a really thoughtful touch, feels like it came from people who have actually watched agents break in production rather than just imagined it.
How does the loop readiness score actually work behind the scenes, is it a fixed rubric or does it adapt based on the task you describe?
@cemalbxto Good question. Right now it’s a fixed weighted rubric, not an AI-generated score. Yes, Partial, and No give full, half, or zero points for each check. I kept it predictable on purpose, so you can see exactly why you got a certain score. It doesn’t adapt to the task type yet, but I’m thinking about that for a future version.
browser-only and no signup is a nice touch, actually used the failure-case library to tighten up one of my agent loops and it caught a dumb retry loop i hadn't noticed
@dndkarlarrhd2 Honestly, this made my day. Those dumb retry loops are so easy to miss until they start eating time and tokens. Really glad the failure-case library helped you catch it. Thanks for giving it a proper try!
the failure-case library is a really thoughtful touch, feels like it came from people who have actually watched agents break in production rather than just imagined it.