Your AI dev team.

It builds, tests, reviews and ships. You make the calls.

Specialist agents for every role, each on its own cloud machine. Free to start.

A team, not an AI engineer.

A team, not an AI engineer.

One AI engineer needs a manager. A team needs decisions. JackHamr gives every role its own specialist, each on its own cloud machine. You approve the plan. They do the rest.

  • A spec writer turns your idea into a spec and mockups you approve
  • Developers build it, several at once if the work allows
  • QA tests every change in a clean environment
  • Code and product reviewers sign off before you see it
  • Your only job: the calls that need taste
ID: 0xNEXUS
Bootstrapping
Nexus AI Agent

Nexus

Shadow Protocol

 

Brainpower0%
Memory0.0 / 6.4 GB
Storage12.1 / 50 GB
Pipeline0%
Spec
Plan
Build
Test
Review
Ship

Tested and reviewed before you see it.

Code nobody checked is how products break. On your team, builders never grade their own homework. QA and reviewer agents try to break every change and send back what fails, so what reaches you already works.

  • A separate QA agent tests every change in a real browser
  • Code reviewer and product reviewer sign off on every change
  • Spec and mockups approved before a line is written
  • Every plan archived and followed, not improvised
Review loop
Task #248: Add dark-mode toggle
4 agents on it
Your approval gateApprove
Live, not localhost.

Live, not localhost.

Your team does not hand you code that only runs on someone's laptop. Every agent has its own cloud machine, so what it builds actually runs, gets tested, and goes live at a real link. One click puts it on your own domain.

  • VS Code, terminal, browser, Docker, git: all preinstalled
  • A live preview link for everything it builds
  • Publish on your own domain in one click
  • Up to 16 cores and 64 GB RAM per agent, resized any time
  • Nothing to install. Pay only while agents run
Provisioning Agent
Creating container1.2s
Resizing disk
Installing packages
Configuring environment
Starting services
Agent ready
Setting up...0%
GitHub, built in. Not bolted on.

GitHub, built in. Not bolted on.

Point your team at the repository you already have. Agents clone it, work on branches, bring the stack up with Docker, and open pull requests you review with one click.

  • One-click clone into every agent machine
  • A branch per task, commits synced in real time
  • Docker Compose detected and started from the dashboard
  • Pull requests with a branch-compare review one click away
  • Works when your org blocks OAuth apps: SSH key or token fallback
ai_dev_dashboard
feature/dark-modesynced
ai_dev_backend
mainsynced
ai_dev_website
feat/features-page+7
Syncing ai_dev_dashboard0%
Auto-sync · Branch management · Commit tracking
Learns your codebase.

Learns your codebase.

Your team remembers. Every correction, every convention, every way you like things done. Agents write down what they learned after every session and come back sharper. Month three looks nothing like day one.

  • Learns your codebase and your conventions
  • Never repeats a mistake you have corrected
  • Notes after every session, merged into a wiki nightly
  • New agents start with what the team already knows
Intelligence Level12/100

Starting fresh...

Ship five features at once.

The bottleneck is not writing code anymore. It is deciding what to build. Drop ideas on a board and your team picks them up, moves each one from spec to shipped, and pings you only when a decision needs you.

  • Cards move themselves: spec, plan, build, QA, ship
  • Five cards means five agents working in parallel
  • Decisions queue up for you instead of interrupting you
  • Agents can create and supervise cards themselves
▦
Sprint Board
Shared workflow · 3 cards
Live
Backlog1
Ready
Spec
Plan
Build1
QA
Review
Shipped1
Redesign checkout flow
You created this task
BacklogYYou
You create the task, that’s your only job1/8
Works where you work.

Works where you work.

Brief your team from Slack, from ChatGPT, Claude or Cursor, or from your phone. Approvals become buttons wherever you are, and everyone can see what shipped.

  • Slack: one channel per conversation, approvals as buttons
  • ChatGPT, Claude and Cursor: hand work to your team from the chat
  • Desktop app, browser and phone
  • Your models: ours, your own keys, or your Claude Code or Codex plan
#atlas-dev
S
A
Message #atlas-dev

Why not just use Claude Code?

Claude Code is a great agent. It is not a fleet.

Read the full, honest comparison

You get one thread. We give you the fleet.

Claude Code is one agent in one terminal. Scaling it means you build the rig. JackHamr ships the machines, the coordination, and the agents, ready on day one.

Reviewers included

Builder, QA, code reviewer, product reviewer: four agents on every task. Nothing is self-graded, nothing reaches you unchecked.

No token walls

Credits, not seats. Nothing stalls mid-task because a subscription capped out. Nothing to stack.

A workforce, not a session

Name agents, give them skills, share them across your org. The fleet keeps working when your laptop closes.

Your AI dev team is ready.

Free to start. Running in two minutes.