Control plane for software delivery

Ship software with a factory of agents.

Alan coordinates your team, coding agents, context, tests, and releases, from plan to production.

learn · outcomes → next plansessionstasksPRDdecisionsPLANBUILDVERIFYSHIPWORK UNITS128running07queuedSYSTEM STATUScontext syncOKpolicy checksOKquality gatesOKdeploy readyOK

Works with the agents and tools your team already uses

  • Codex
  • Cursor
  • Claude Code
  • GitHub
  • Slack
  • Linear

Coding agents moved the bottleneck downstream.

Teams adopted coding agents and got more code, faster. But the system around the code still runs at human speed. Everyone codes faster. Nothing ships faster.

01 / OUTPUT
Pull requests14 open
feat/checkout-retry+12834
fix/auth-session+4612
chore/upgrade-deps+21088
+12 more waiting on review

PRs pile up

More branches and bigger diffs create a review surface your team still has to understand manually.

02 / TESTING

Testing falls behind

Agents produce changes faster than QA can verify them. Manual passes and flaky suites make testing the step everything waits on.

03 / CONTEXT

Agents start cold

Architecture, prior decisions, product nuance, and tribal knowledge get reconstructed task by task.

04 / CONFIDENCE

Confidence lags the code

A task can look complete while missing the surrounding constraints humans implicitly carry.

One engineering brain. One execution layer.

Alan gives every agent the context to make better decisions, and gives the organization a runtime that coordinates work across tools, stages, and people.

The engineering brain
PRDs & DocsIntent & decisionsTasks & IssuesWork & constraintsTestsQuality & signalsDeploysReleases & changesAgent RunsActions & outcomesAlan Context Layerlivecompounds with every runUnified MemoryPersistent, versioned,and queryable.Relationship GraphUnderstands howeverything connects.Real-time SignalsTelemetry, logs, andfeedback in.Learning LoopEvery run improvesthe model.

Every artifact your team already produces flows into one persistent, queryable context layer, so agents and workflows start from what the organization already knows.

The execution layer
taskENG-204orchestratordurable stateagentimplementagentverifyhumanapprove

Agent orchestration

Coordinate agents, tools, and humans as one system. Route work, keep state, branch when needed, and recover when reality disagrees with the plan.

releasebuildtestsbehavioral QAprodagent auto-repair

Verification as a workflow

Make CI, QA, and review part of the agent loop instead of a queue at the end. Verify, diagnose, repair, and re-run before humans spend attention.

EXECUTION TRACE09:42 plan · 6 steps09:48 agent · 14 calls09:52 migration flaggedawaiting approvalpolicy gateproduction

Control without slowing down

Keep execution inspectable and governable. Humans stay on judgment and policy; agents handle the repeatable coordination around them.

The same work, before and after Alan.

What changes when plan, code, test, review, and release stop living in separate tools and start moving as one connected flow.

Before

Disconnected tools.
Manual handoffs.

Work gets lost between tools, people, and context.

  • Siloed visibility
  • Manual status updates
  • Delayed feedback
  • Higher risk
After

One flow.
Full control.

Alan connects everything so your team moves faster, together.

AlanAlan
PlanPrioritize work
CodeAI pair & commit
TestVerify quality
ReviewHuman in the loop
ReleaseShip with confidence
  • End-to-end visibility
  • Automated handoffs
  • Real-time feedback
  • Lower risk, faster delivery

Questions

How Alan fits a team that is already shipping with coding agents.

Alan is the control plane for teams shipping with coding agents. It coordinates Codex, Cursor, Claude Code, browser testing, CI/CD, repositories, and deployment workflows through a single context graph so teams can plan, build, review, test, and ship without juggling tools.

Your coding agents move fast. Now your entire SDLC can too.

Connect the loop from task to production with shared context, orchestration, verification, and control.