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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 🙏
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.
On the analytics side, Loop Engineering competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how Loop Engineering performed against the three products that launched closest to it on the same day.
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.
For a complete overview of Loop Engineering including community comment highlights and product details, visit the product overview.