AI agents write the code.
Your team ships it, together.

Turn solo agent output into work your whole team can see, steer, and trust: idea to shipped code, human sign-off at the moments that matter, every change recorded.

Works with Jira, Linear, and GitHub. Bring your own agents.

Two moments need a human: the plan and the ship. Everything in between runs, checks, and fixes itself, and all of it is recorded.

What that means for you

Coding agents are already fast. The hard part is trusting what they ship. AI StackWorks turns agent output into finished, reviewed software your whole team can see, and stand behind.

More shipped every week

Routine tickets stop waiting for a free engineer. Agents take them from plan to reviewed, tested pull request while your team stays on the hard problems.

Agent work becomes team work

Plans, agent conversations, and decisions live in a shared workspace, not on one engineer's laptop. Anyone on the team can look in, weigh in, or redirect.

Everything done is on the record

Every change carries its plan, approval, agent runs, test results, demo video, and reasoning. Captured automatically, visible to the whole team, and still there when someone asks “what changed?” six months from now.

Control and accountability stay human

Nothing merges without a person clicking approve, and the record shows who approved what. Your team holds the gates; agents do everything in between.

Reviews in minutes, not afternoons

Work arrives with tests green, checks done, and a demo video ready. Reviewers watch the demo and skim the PR instead of reconstructing what the agent did.

Knowledge that compounds

Docs and decisions update as work ships, so every new card starts with full context. New teammates, and new agents, learn from the record instead of tribal memory.

This is what running it feels like

Real screenshots from the product. Four places you'll spend your time, and none of them is a code editor.

Plan it together, then approve it

Chat with the planning agent and it writes the plan into the document as you talk. Teammates read it, edit it, and get @-mentioned into the discussion. When it looks right, one click approves it and the agents take over.

A card's plan document beside the planning agent chat, with teammates available to @-mention and an Approve plan button

Work runs in parallel

Agents progress several cards at once: one in build, one in QA, one in review. Each card keeps its own conversation and timeline, plan approvals, subtasks, stage changes, so the context never leaves the work, and anyone on the team can pick up the thread.

The WIP Tasks view: several in-flight cards at different stages, with the selected card's agent conversation interleaved with its timeline events

Watch the demo before you ship

Work that reaches the ship gate carries a recorded demo video: the feature running, with the PR link, viewport, and acceptance notes beside it. You review by watching, not by digging through diffs.

A card timeline with an embedded demo video, PR link, and acceptance notes between pipeline events

Documentation that stays true

Specs, decisions, and architecture notes are updated by the agents as work ships, not written once and left to rot. Each page links back to the cards that changed it, so the docs always match the code.

The AI StackWorks docs tree beside a rich editor rendering an architecture page

It fits into what you already run

A layer on top of your tools, not a replacement for them. Work flows in from the board and chat you already use, through your own agents, and out as merged, documented changes. Nothing moves, and nobody re-learns their job.

Two-way sync with Jira, Linear, and GitHub Projects

Your agents, your infrastructure, your keys

Approvals in Slack. Docs commit to your git repo

Don't I already have Cursor or Claude Code?

Probably, and keep them. A coding agent writes code on one person's machine. AI StackWorks is the layer that turns that code into a shipped, tested, documented change your whole team can see.

A coding agent alone

  • Writes code when someone sits down and drives it.
  • Its reasoning stays on one laptop, then disappears.
  • Stops at the edge of the editor.
  • Leaves planning, review, QA, docs, and the paper trail to you.

With AI StackWorks

  • Work flows from your board to your agents without a driver.
  • Plans, decisions, and reasoning are shared and saved.
  • Every change arrives tested and reviewed, with a demo video to watch.
  • You approve the plan and the ship. That's the whole job.

Two ways to start

Self-Serve

Connect your board and your agents yourself. Best if your team is already comfortable running coding agents and wants the control layer around them.

  • Introductory pricing: $99 per project, per month
  • Bring your own agents and keys
  • You own your data and your record

Agent Team Kickstart

In ten days we wire AI StackWorks into your board, connect your agents, set the approval gates, and ship a real feature with you. You end with a working pipeline, not a demo.

  • $5,000 flat, ten-day engagement
  • A real feature shipped through the pipeline
  • Your team trained on the approval workflow

Put your agents on the pipeline.

AI StackWorks is in early access. See it live, or tell us about your team and we'll take it from there.