Every task starts with the whole project behind it.
Discovery, requirements, engineering and operations run through one harness. AI agents work the tasks in parallel. Damco engineers review the evidence and own what ships. And the factory is measured the way you are: not by the volume it produces, but by the business KPIs its software moves.
Illustrative project factory
The task rhythm
Two stages, once a task is assigned.
First the task is co-planned: the agent proposes how to implement it, as artifacts a person can read, and the engineer reviews and iterates on the proposal until the plan is right. Then it is built: the agent implements the agreed plan, and the engineer validates the change functionally and technically before it ships.
Both stages are agentic — what varies is the dial. A routine change runs nearly autonomous, with the engineer confirming; a novel one keeps the engineer deep in the plan. And because every iteration is on the record, you can see exactly where human judgment earned its keep — down to where each engineer's hours go.
The factory connects the work, not just the code.
The figures below are illustrative. The mechanism is the point: every kind of task can reference and improve the same body of project context.
01 · One entry point
Everything is a task, not just engineering work.
A discovery question, a requirement change, a build and a release action all enter the factory the same way: as a task through the harness. Each one carries the same identity, permissions and project links.
Work stops depending on which door it came through. Whatever one task learns is attached where the next task, person or agent can reach it.
Attached to every task. Nobody rebuilds the story from meetings and chat history.
02 · Project memory
The context belongs to the project.
The factory keeps one context graph across conversations, requirements, decisions, code and tests. Every task reads from it, and verified results are written back at project level.
People and agents stop reconstructing the project from meetings, tickets and chat history. The source and the latest meaning remain connected.
03 · Agents and engineers
Agents do the work. Engineers own the call.
Several agents research, build and verify in parallel on one task record. A Damco engineer reviews the combined evidence and signs off. Nothing ships on an agent's word alone.
Speed comes from the agents. Judgment and accountability stay with a named person you can talk to.
04 · Compounding context
Every finished task teaches the factory.
A finished task returns its output and the context created while producing it: decisions, tests and operating notes. While the factory builds your system, it is building the system's ability to build itself.
Tomorrow's change enters the same port, reads a richer graph and ships the same way. The factory gets faster the longer it runs.
The CTO questions
The agents can change. The control plane does not.
This is the factory we build for every project: one governed layer around the tasks, context, agents, models and evidence. Our engineers work in these tools every day.
The Damco harness · powered by Alan AIOur custom orchestration layer, built in strategic partnership with Alan AI.The coding agents we work in
Codex
Claude Code
Cursor
GitHub Copilot
Zero data retention
The factory policy keeps prompts and responses out of provider training and retention. Approved enterprise endpoints enforce the boundary.
Centralized inference
Every model call passes through one governed gateway for routing, budgets, policy enforcement and audit.
Agent agnostic
Claude Code, Codex, Cursor, OpenCode and future approved agents can work behind the same task, context and control plane.
Task isolation
Each task works in a disposable environment with explicit routes to the services and data it is allowed to use.
Enterprise identity
Agents inherit project-scoped identity, secrets and permissions. They do not receive standing access to everything.
Complete audit trail
The task records which agent used which context, model and tool, what changed, and which person approved the result.
The whole factory
One task port. One project context graph. Many agents. One governed route back.
We build this factory around every project, inside your repositories, cloud, identity and enterprise controls. And it is a service in the plain sense: run it with us, our engineers inside the harness and accountable for what ships — or take it in-house, where the handover includes the factory itself: harness, agents, context graph and record. Either arrangement buys the same thing — the outcome, not the headcount.