This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
TAKT
Stop babysitting AI coding agents — reviews can't be skipped
Open-source CLI that turns AI coding agents (Claude Code, Codex, Cursor & more) into repeatable YAML workflows: plan → implement → review → fix loops with per-step roles, isolated worktrees, and traceable reports. Reviews can't be silently skipped.
I'm nrslib, the maker of TAKT.
I built TAKT because I got tired of babysitting AI coding agents. They're powerful, but in long-running work they forget instructions, blur the line between implementing and reviewing, and I kept repeating the same feedback over and over. That wears you down.
Adding more rules to prompts or CLAUDE.md helps, but it can't *enforce* a process — whether the rules are followed is still left to the agent.
TAKT flips this around: the workflow controls the agents from the outside. You define plan → implement → review → fix loops in YAML. Each step gets its own persona, policies, and output contracts, so context stays focused instead of polluted. Reviews can't be silently skipped — findings route work back to fix steps, and human judgment can be requested when it matters. Tasks run in isolated worktrees, and every step leaves logs and reports, so the path from task to PR stays traceable.
A side effect I like: since quality comes from the process rather than the model alone, review loops lift output quality even with weaker models.
It works with Claude Code, Codex, OpenCode, Cursor, GitHub Copilot CLI, and Kiro. And TAKT is built with TAKT itself — every PR goes through its own review workflow.
TAKT took off in Japan first — 1.2k+ GitHub stars, 18k+ npm downloads a month, and a 700-member Discord, with engineers and companies writing their own guides for it. Today I'm excited to bring it to the rest of the world.
It's open source (MIT). Try it in 5 minutes:
npm install -g takt
I'd love to hear how you run your AI coding workflows — I'm here all day to answer questions!
About TAKT on Product Hunt
“Stop babysitting AI coding agents — reviews can't be skipped”
TAKT was submitted on Product Hunt and earned 16 upvotes and 1 comments, placing #20 on the daily leaderboard. Open-source CLI that turns AI coding agents (Claude Code, Codex, Cursor & more) into repeatable YAML workflows: plan → implement → review → fix loops with per-step roles, isolated worktrees, and traceable reports. Reviews can't be silently skipped.
On the analytics side, TAKT competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how TAKT performed against the three products that launched closest to it on the same day.
Who hunted TAKT?
TAKT was hunted by nrs. 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 TAKT including community comment highlights and product details, visit the product overview.