Every phase of the AI software lifecycle
From idea to production: one place.
Start with an idea. An agent works through the design with you: the alternatives, their tradeoffs and a recommendation. The plan you approve becomes tasks, handed to agents and people, and everything after it, from code to review to tests to the build, happens in one place.
Collaborative AI SDLC
Your system evolves as the work happens.
Configure every stage for the way your team works. Each change connects the code, its tests and the shared context around it, so your system and its artifacts stay current in real time.
People frame the outcome; AI turns it into a shared starting point
AI investigates the code and lays out tradeoffs; the team compares the options
AI maps affected systems and tests; independent risk assessment is coming soon
The team selects a direction and makes the rationale available to every contributor
People and agents make the change together in the same branch and workspace
AI proposes test cases while the team adds expectations and edge cases
The system rebuilds what changed, with AI and people able to follow the evidence
The right tests and browser checks run; results are shared with the whole team
AI-assisted review brings evidence forward; people discuss, request changes and approve
The approved revision records the decision and lands in the agreed order
The decision, evidence and useful context stay connected to the change
People and AI carry lessons into the next change and refine the workflow together
Design in the workspaceDescribe an idea. The agent lays out the alternatives, their tradeoffs and a recommendation, then turns the plan you approve into tasks.
Shared context
Every branch is a running workspace, and a shared memory.
A branch carries everything the work needs, committed with the code. Every person and every agent on it, and every stage of the lifecycle, reads and writes the same context, so nothing is lost between hand-offs and no agent starts from zero.
- The code, runningCloned, built and live on its own server before anyone opens it.
- Every conversationEach chat with an agent, saved and committed with the code.
- The task boardThe plan, broken into tasks, each owned by a person or an agent.
- What agents learnedLessons and preferences that carry into the next session.
- The map of the codeA graph of every symbol, caller and test that any agent can query.
Shared byYour team · Claude Code · Codex · Gemini · ReasonOS agent · QA agents · CI
The platform
Every phase of the lifecycle, in one place. Seven stages, one system, no hand-offs.
01Design
Start with an idea, not a ticket.
Describe what you want. In plan mode the agent investigates the code without touching it, lays out the alternatives with their tradeoffs and a recommendation, and waits for you. The plan you approve becomes tasks on the branch, each one yours or an agent’s.
Learn more02Plan
Plans that move with the code.
Issues link to their branch, their review and their build. An issue starts when its branch opens and closes when its change lands, so the board is never out of date and nobody has to update it.
Learn more03Build
Every branch is a running workspace.
Open a branch and it is already cloned, built and running. Teammates join with a link and share the same files, terminal and preview. There is no laptop to set up and no “works on my machine.”
Learn more04Delegate
Agents that work like teammates.
Hand an agent an issue. It reads the code, makes the change, runs the tests and opens a review in the same branch, under the same checks as everyone else. Model teams—different agents taking distinct roles, working in parallel and cross-checking—are coming soon.
Learn more05Review
Small changes, and approvals you can trust.
Stacked changes are reviewed one at a time and land in order. An approval is pinned to the exact commit it judged and goes stale the moment new code is pushed, whoever pushed it.
Learn more06Test
Tests written in sentences, run in a real browser.
Describe a customer journey in plain English. An agent runs it in Chrome on every push, keeps a recording of each step, and says what broke and why.
Learn more07Ship
Only what changed is rebuilt, retested and shipped.
ReasonOS knows how every file connects to every test, service and deploy. Change a function and it works out exactly what has to run, with no pipeline files to write or keep in sync.
Learn more
Agentic orchestration
A team of agents, working as one.
Give the work distinct roles: Design frames the direction, Impact Analysis maps the consequences, Code makes the change, and Code Review checks it. Independent work moves in parallel; people keep the approvals that matter.
One projectOne shared branch and evidence trail
- 01DesignFrames alternatives and a planAvailable
- 02Impact analysisFinds the systems and tests affectedAvailable
- 03Risk assessmentChecks the change independentlyComing soon
- 04CodeMakes the change on its branchAvailable
- 05Code reviewChecks the change before approvalComing soon
Each role works from the same code, task and evidence—so the next agent can check the last one’s work.
- Choose the agent and model for each role Coming soon
- Assign several agents to one role for independent cross-checks Coming soon
Why now
Agents now write more code than people can read. The tools around it were built for one person and one change at a time.
Clone, install, wait for CI, chase a reviewer, hand off to QA, file a ticket for the deploy. Every step assumed a person was typing. ReasonOS rebuilds the lifecycle around a branch that is already running, so people and agents move at the same speed, under the same rules.
Any agent
Bring the agents your team already pays for.
Each person links their own Claude, ChatGPT or Google account, or a project uses its own API keys. Whichever agent you pick runs inside the branch, with the same tools, permissions and checks as a person, and its keys never reach the branch.
- Claude Codewith your Claude plan
- Codexwith your ChatGPT plan
- Geminiwith your Google account
- ReasonOS agentwith project API keys
Fewer tools
One login instead of six vendors. And no glue code between them.
A git host and a code review toolHosted git with stacked reviewsA build tool and a CI serviceOne build system that CI reads directlyAn issue trackerIssues linked to branches and reviewsA browser-testing frameworkTests in plain English, run by an agentA deck and document sharing serviceDocuments with page-by-page reading analyticsLaptop setup docs and a dev containerA branch that is already running
Enterprise
Agents with access to your code need real controls. These are built in, not sold separately.
Single sign-on
SAML or OIDC through your identity provider, or Google, Microsoft and GitHub sign-in. Two-factor is required by default, and people with your verified domain join automatically.
Roles you define
Build roles from allow and deny rules, grant them to nested teams, and protect branches with required reviews, checks and signed commits.
A complete activity log
Every sign-in, push, merge, permission change and secret change, with who did it and whether it was allowed.
Branches with no public address
Every request goes through one authenticated gateway. Secrets are encrypted and never exposed to terminals or agents as environment variables.
Changelog
Shipping every week.
QA
A step-by-step view of every QA run
Open any run to see each step’s outcome, its retries and which steps were reused from a previous run. Repeat runs of the same test now behave the same way.
Agents
Claude Code, Codex and Gemini in the editor
Chat with Claude Code, Codex or Gemini inside a branch, approve their actions as they work, and set a default agent for each project.
QA
A guided start for QA
A setup guide, a test picker and a live replay make it quicker to write your first tests and watch them run.
Agents
Bring your own AI subscription
Link your own Claude, ChatGPT or Google account, or give a project its own API keys, so agents run on the plan you already pay for. Keys are encrypted and never reach a branch.
Open a branch. Your team joins with a link.
It boots in seconds with your tests already running. Keep it as long as the work takes, then throw it away.