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Loop Engineering
Design safe, token-aware AI agent loops — free, no sign-up
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.
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 🙏
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?
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
About Loop Engineering on Product Hunt
“Design safe, token-aware AI agent loops — free, no sign-up”
Loop Engineering was submitted on Product Hunt and earned 4 upvotes and 4 comments, placing #160 on the daily leaderboard. 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.
Loop Engineering was featured in Productivity (655.6k followers), Developer Tools (515.4k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 325k products, making this a competitive space to launch in.
Who hunted Loop Engineering?
Loop Engineering was hunted by 天铭. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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