Spend your time on the decisions that matter
Takuto takes the routine, well-specified tickets off your plate — bug fixes, small features, repetitive changes — and runs them through a real pipeline you can supervise as much or as little as you like.
What makes Takuto different
Isolated by container
Every workflow runs in its own container and git worktree, behind a default-deny egress firewall — the prompt-injection blast radius is one container, not your machine or your network.
Define the architecture, then let it run
You set the approach — the ticket and the workflow steps — and the agent does the legwork autonomously. Step in only at the end to fine-tune through the in-browser VS Code editor or web terminal, pointed at the exact worktree, if the result needs a human touch.
AI-assisted ticket prep
Sharpen a ticket with AI help before the agent ever sees it, so it works from a clear, complete spec instead of a vague one — better input, better pull request.
Run your app from a clean container
Custom run commands launch your dev server inside the isolated container on the server, with port forwarding — so you can preview and verify the agent’s work in a fresh environment, not just read a diff.
Takuto vs. an in-editor assistant
| IDE assistant (Copilot, Cursor inline) | Takuto | |
|---|---|---|
| Where it runs | Inside your editor, on your machine | In a container, on any machine or server |
| Supervision | You approve each step | Optional — autonomous or manual-trigger, your choice |
| Ticketing integration | None | Jira, GitHub Issues, or standalone |
| Pipeline definition | Single prompt | Multi-step pipeline you edit in the dashboard |
| Concurrent work | One task at a time | Multiple tickets in parallel |
| Security boundary | Full internet access from the agent | Egress firewall — only approved hosts reachable |
| Team deployment | Per-developer only | Self-host on a server; shared dashboard |
| Persistence | Ends when you close the editor | Survives restarts; paused workflows resume |
Who it’s for
Takuto is built around one motion: tickets in, reviewed pull requests out. That shapes who gets the most from it — and who is better served by something else.
A strong fit
- Teams working from a ticket queue — Jira or GitHub Issues — with a steady stream of well-specified work.
- The unglamorous backlog: bug fixes, small features, dependency bumps, repetitive refactors.
- People who would rather review a pull request than babysit a prompt — supervise as much or as little as you want.
- Organisations that need to self-host: container isolation, an egress firewall, and nothing leaving their infrastructure.
Where another tool fits better
- Solo developers who love the tight inner loop of prompting line-by-line in their editor — an inline assistant (Cursor, Copilot, interactive Claude Code) will feel faster.
- Pure vibe-coding: improvising a prototype from a blank page, where there is no ticket to hand off and you are steering every keystroke.
- One-off scripts and throwaway experiments, where the pipeline is more ceremony than it is worth.
None of this is a hard line — Takuto runs fine on a laptop for one person. It simply earns its keep when there is a backlog to delegate and, ideally, a team to share it with.