Software delivery,
run by agents.
Give Codepixel a requirement. It understands your system, creates the plan, breaks work into tickets, runs coding agents in parallel, tests the output, and prepares the release — while your engineers approve the decisions that matter.
Claude
OpenAI
GeminiFrom requirement to release.
Every stage produces something your team can inspect. Agents handle volume. Humans keep control.
Requirement
Business goal, scope and existing system context.
Context indexedPlan
PRD, acceptance criteria and technical analysis.
Agent runningArchitecture
Implementation strategy, dependencies and risks.
Engineer gateTickets
Dependency-aware execution graph ready for agents.
14 queuedBuild
Parallel coding sessions in isolated branches.
6 agents activeVerify
Tests, QA, acceptance checks and automatic rework.
31 / 34 passedRelease
Review-ready PR, documentation and release trail.
Awaiting sign-offStart with one requirement.
Run it end to end and compare against your current process.
Run a pilot →Writing the code was
never the slow part.
Generation stopped being the constraint. What still takes a week is everything around it — and that is what Codepixel automates.
Working with a coding assistant
Codepixel
Ten steps to ship.
Codepixel runs nine.
An assistant changes one of them. Codepixel takes the other nine and leaves you the review.
The agent is the engine.
Codepixel is the factory.
An agent is very good at what you point it at. Codepixel decides what to point it at, what “done” means, and what has to happen first.
It starts a level earlier
The input is a requirement, not a prompt. Codepixel writes the PRD and the acceptance criteria first, so there is something concrete to build against and to check against later.
Context outlives the session
The PRD, the design system and the technical spec are attached to each ticket and read at build time. Nothing depends on one long conversation staying in memory.
Many agents, in the right order
Tickets carry their dependencies. Independent work runs at the same time in separate workspaces; dependent work waits and starts on its own when the ticket it needs has passed.
Something checks the work
A quality gate runs the tests and the acceptance criteria before a human sees the change. When it rejects, the ticket goes back to the agent to fix — not onto your review pile.
Better coding models make this better, not redundant.
Codepixel is model-agnostic on purpose. The planning, sequencing, verification and audit trail stay the same whichever model writes the code — so every improvement in coding models lands inside a process that already knows what to do with it.
Work you can watch happen.
Requirements, tickets, agent runs, diffs, tests, failures and approvals stay visible while the work is happening.
Parallel agent work, in isolated branches.
Runs coding agents in isolated environments and parallelizes work wherever dependencies allow — then checks tests, application behavior and the original acceptance criteria before anything reaches a reviewer.
- ✓ Code, commits and working previews
- ✓ Test results and QA reports
- ✓ Automated rework when checks fail
- ✓ Pull request, documentation and release trail
Use the best model for each job.
Bring your own keys or use a managed setup. Switch models on capability, compliance or cost — the process stays the same.
- ✓ Works inside your existing Git workflow
- ✓ Agent jobs run in isolated workspaces
- ✓ Requirements, tests and reviews stay queryable
ClaudeOpenAIGeminiConfigured around how your company ships.
Not a fixed workflow. Configure it around your systems, policies, approval chain and deployment environment.
Custom integrations
GitHub, GitLab, Bitbucket, Jira, Azure DevOps, CI/CD, security scanners and internal systems.
Custom gates
Architecture review, security sign-off, QA, UAT, change management or client approval.
Custom agents
Specialized agents for your frameworks, standards, domains and engineering practices.
Private deployment
Dedicated cloud, customer VPC or stricter self-hosted patterns for sensitive environments.
Not a black box.
Every requirement, ticket, agent run, diff, test and approval stays visible while the work is happening.
Your repositories
Codepixel works inside your existing Git workflow. Your source stays yours.
Approval gates
Decide exactly where an engineer must review before work moves forward.
Isolated execution
Agent jobs run inside isolated workspaces rather than directly on production systems.
Audit trail
Requirements, plans, tickets, commits, tests and reviews remain queryable.
Before you start.
What engineering teams ask before running their first real requirement.
Does Codepixel work with our repository? +
Yes. Codepixel works inside your existing Git workflow, and your source stays yours.
Where does the agent actually run code? +
Agent jobs run inside isolated workspaces rather than directly on production systems.
How do our engineers stay in control? +
You decide exactly where an engineer must review before work moves forward. Humans remain at the gates that carry real consequence.
Which models can we use? +
Bring your own keys or use a managed setup, and switch models based on capability, compliance or cost without rebuilding your delivery process.
Can it run in our own environment? +
Dedicated cloud, customer VPC and stricter self-hosted patterns are available for sensitive environments.
How do we evaluate it properly? +
Give us one real requirement, feature or backlog item rather than a demo, and compare delivery time, engineering effort and quality against your current process.
Don’t evaluate Codepixel on a demo.
Give us one real requirement. Compare delivery time, engineering effort and quality against your current process.