Improve onboarding empty state
Context attached
The AI workspace for the entire engineering lifecycle.
Humans and coding agents, working the same board, shipping the same roadmap.
Checkout redesign
3 agents, 1 reviewer, staging checks live
Agent run
Codex picked up checkout polish
Validation
Browser QA passed on desktop
Pull request
Ready for human review
Plan
Align and scope
Code
Build and collaborate
Test
Automate and validate
Deploy
Ship with confidence
Learn
Improve continuously
Works with the agents and tools your team already uses
- Codex
- Cursor
- Claude Code
- GitHub
- Slack
- Linear
78%
of dev teams write code faster with AI. Only 21% ship faster.
Alan closes the gap.
Code got faster. Coordination didn't.
Six agents running. One board that shows none of it.
Speed without visibility
Faster commits, same slow sprints. Individual speed without coordination is noise.
Faster commitsSame slow sprints
Context resets every session
Agents start from zero — no memory of what was tried, what broke, or what the team decided.
Agents start from zeroDecisions repeat
Nobody knows what's shipping
Six agents running, one board that shows none of it. Issues surface in production.
No single viewFound in prod
How Alan works
Three steps from scattered agent runs to a connected engineering workflow.
- 01
Connect context
Calls, PRDs, repos, and prior runs land in one shared memory.
- 02
Route the work
Send each task to the right human or coding agent.
- 03
Ship with checkpoints
Review, validate, and keep progress visible until it lands.
Most coding agents forget. Alan compounds.
Every call, PRD, task, run, test, and deployment becomes reusable context for the next piece of work.
Customer call
3 calls
PRD
v1.2
Task
#1254
PR
#5678
Test
3 failed
Sprint goal
Sprint 12
Agent run
Claude Code
Release
v2.4.1
Improve onboarding
conversion
Recalled for this task
Improve onboarding conversion
- 3 onboarding calls
- Prioritized in Sprint 12
- Billing fix from last month
- Staging regression failed
Run sprints where coding agents are first-class contributors.
Plan once, route to the right executor, and keep progress visible until it ships.
Route work
Send tasks to the right human or agent.
Track progress
See what is planned, running, and waiting for review.
Review safely
Keep checkpoints visible before risky changes ship.
Checkout redesign sprint
6 tasks · people + agents
Planned
2Fix checkout coupon validation
Ready for agent
Running
2Build pricing page update
64% complete
Generate payment tests
Tests running
Review
2Move signup to API v2
Human checkpoint
Ship locale regression fix
Verified
A coding agent writes code. Alan runs the lifecycle.
Agents are executors. Alan is the control layer that keeps context, coordination, and shipping connected.
| Capability | Coding agent alone | Alan |
|---|---|---|
| Shared memory across sessions | ||
| Humans + agents on one board | ||
| Route work to the best executor | ||
| Write and edit code | ||
| Checkpoints before risky changes | ||
| Traceability from plan to ship |
Ready to run sprints with agents as first-class teammates?
Start in the app, or book a walkthrough with the team.
Questions about Alan
How Alan coordinates coding agents, engineering systems, and delivery from plan to production.
- Alan is the SDLC execution layer 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.
- Alan works with coding agents and engineering automation such as Codex, Cursor, Claude Code, browser-automation agents, CI agents, and custom internal tools. Generic coding agents are connected as executors, not treated as the workflow system itself.
- Alan is not a generic coding agent. It is an SDLC platform for coordinating coding agents, tasks, repositories, tests, CI/CD, releases, and the context graph behind them. Tasks get routed to the right executor, results flow back into shared memory, and outcomes stay visible to the whole team.
- Yes. Alan treats humans and coding agents as first-class contributors to the same software delivery workflow. Cards on the sprint board can be assigned to people or specific agents, with live status, progress, and human checkpoints when work needs review.
- Every customer call, PRD, task, comment, code change, test result, and agent run is connected through a shared context graph. When a new task starts, agents and humans inherit the relevant history automatically, with no re-onboarding required.
- Alan runs through your existing source control and identity providers. Agents operate inside scoped permissions, every action is auditable, and human checkpoints can be required before high-impact changes.
- Book a demo or download the macOS desktop app from aiden-platform.com. We typically scope a pilot around one repository, one agent, and one sprint, then expand from there.