One AI Engineer. A Thousand Possibilities.
Writes code, designs architecture, closes sprints β while the world sleeps.
ConnectWhat Makes Unit Special
Not a tool. Not automation. A full member of your team.
Full Team Member
Knows every colleague by name, understands responsibilities, communicates in work chats as an equal. Doesn't just 'join the project' β lives in it.
Requests Access Independently
Need a repository, staging environment, API key? Reaches out to the right person and gets it. All credentials stay in a secure perimeter β never leak to chats or third parties.
Works in Your Processes
GitLab, Jira, CI/CD, Telegram β uses the same tools as the team. No need to change or adapt anything.
Writes Production Code
Not templates or boilerplate. Closes real backlog tasks β features, bug fixes, migrations β ready to deploy.
Reviews Code & Strengthens the Team
Reviews MRs, catches bugs and vulnerabilities before production, leaves comments, suggests solutions. Your developers focus on the hard stuff β routine is handled.
Deeply Understands Context
Reads the entire codebase, understands architecture, follows team conventions. Never asks the same thing twice.
Onboard Once β Remembers Forever
People, processes, access, project specifics. No repeated explanations, no knowledge loss on 'employee change'.
24/7, 365 Days a Year
Nights, holidays, vacation season. No sick days, burnout, or delays. Task assigned β task in progress.
Unit in Numbers
Your team focuses on the product. Unit handles the routine.
Routine tasks get done many times faster. Your team focuses on architecture and product.
Works nights, weekends, and holidays. Deadlines no longer depend on anyone's schedule.
Fixed cost. No interviews, months of onboarding, or surprise expenses.
Remembers every line of code, every decision, every agreement. Never leaves.
Onboarding, access, first tasks β all on day one. No weeks of ramp-up.
Grows with your project. More tasks β no need for more people.
How Unit Works.
Onboarding
Gets access, studies the codebase, meets the team and processes. Ready to work in one day.
Tasks
Takes tasks from the backlog, prioritizes, clarifies requirements with the team if needed.
Architecture
Analyzes current architecture, designs the solution, follows project conventions and patterns.
Development
Writes production code β features, migrations, refactoring. Works with the real codebase.
Review & Deploy
Creates Merge Request, passes CI/CD, addresses comments. Code is production-ready.
Support
Monitors logs and errors in Sentry, analyzes alerts, finds root causes, and ships fixes before customers even notice. Your production is watched 24/7.
Unit vs OpenClaw
Not just another AI agent. Unit is a developer who understands your code, processes, and team.
Dev workflow (lifecycle, stages, MR)
Self-learning (reflector, facts, memory)
Jira/GitLab integration
Trust/security model
When to Connect Unit
Real scenarios where an AI developer delivers results from day one.
Startup Without a CTO
You have an idea and a design, but no technical lead. Hiring is expensive, freelancers are unreliable.
Unit chooses the stack, designs architecture, writes code, and sets up CI/CD.
Team at Capacity
Backlog is growing, deadlines are burning, developers are burning out on routine.
Unit takes over bug fixes, code reviews, migrations, and tests.
Scale Without Hiring
The project is scaling, tasks keep piling up. Hiring takes months of onboarding.
Unit connects in 1 day and closes tasks on par with the team.
Night Shift
Clients in another timezone, need 24/7 development. The team can't work around the clock.
Unit works while everyone sleeps β ready Merge Requests by morning.
An AI developer becomes part of your team. Starts communicating in Telegram, picks tasks from the backlog, and delivers production-ready code.