Spend your time on the decisions that matter
Takuto changes how you work with AI: instead of prompting an assistant turn by turn, you define the requirements up front and let agents run the implementation — stepping in with a prompt only when something actually needs it.
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. IDE assistants & agent CLIs
| IDE and agent CLI | 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.