Remember
Recall the product flows, customer impact, repositories, owners, contracts, infra, incidents, decisions, and release constraints that matter.
Engineering brain for software factories
Agents write code.
The software factory ships production-ready software.
A software factory that coordinates agents and engineers around organizational memory, verification paths, rollout evidence, and your release process so every requested outcome becomes a verified, reviewable, release-ready change.
Built for teams scaling Codex, Claude, Cursor, and custom agents across real multi-repo systems.
Organizational memoryProduct flows, customer impact, repositories, owners, contracts, infra, decisions, incidents, rollout history, plus facts and relationships learned from every run.
Outcome deliverySpecialist agents coordinate implementation, verification, and rollout from one requested outcome.
Verified changesEvidence from tests, logs, screenshots, and reports.
The delivery gap
Code generation got faster. Delivery confidence did not.
Real software delivery still depends on architecture, service contracts, test strategy, deployment order, ownership, rollout, and operational proof. Without that system context, developers remain the coordination layer.
Operating model
From one requested outcome to a verified software change.
The factory chooses the right path. Small fixes stay lightweight. Cross-repo, API, infra, data, and rollout-sensitive work gets coordinated delivery, sandbox verification, reviewer evidence, and lessons that shape the next run.
Coordinate
Bring frontend, backend, worker, infra, verification, and release work together around the outcome.
Verify
Run tests, contract checks, logs, screenshots, migrations, monitors, and integration flows.
Learn
Capture two kinds of learning: facts for organizational memory and improvements to workflows, skills, gates, and agents.
Delivery evidence
Ask for the outcome. Get the repo changes and the proof behind them.
Map the affected repos, owners, contracts, and deploy order.
The factory retrieves organizational memory: why similar changes failed, which constraints blocked deployment, and which checks proved the path last time.
Coordinate compatible changes across the system.
The API expands first, the worker emits the new event, and the frontend consumes it behind a rollout flag.
Package evidence reviewers can inspect.
Test reports, runtime logs, screenshots, contract notes, rollout order, monitors, rollback path, and new memory facts are packaged with the PR.
Integrations
Connect the systems where delivery context already lives.
Connect GitHub, GitLab, Linear, Jira, Slack, Notion, Google Drive, CI, cloud, observability, incident, and deployment systems so the agent fleet works from the same engineering context your team already uses.
Planning and docs
Product intent, decisions, specs, ownership, review notes, and architecture records.
Code and runtime
Repos, PRs, CI, deployments, cloud config, logs, metrics, traces, and incidents.
Operational memory
Deployment blockers, failed setups, repeated manual checks, rollout lessons, and verification playbooks.
Beyond code changes
Once the factory has context, it can support the rest of engineering.
Cost, reliability, security, and compliance issues all connect back to code, infra, ownership, runtime behavior, deployment history, and customer impact.
Example investigation
Why did data warehouse cost spike last month?
Signal
Cost increased 28% after the analytics worker deployment.
Trace
The spike maps to one repo, one module, and one query path.
Action
Run query plan comparison, worker replay, and cost estimate before the fix ships.
Cost analysis
Connect cloud spend, deploy history, metrics, queries, workers, repos, and owners.
Reliability diagnosis
Trace incidents to code paths, rollouts, monitors, service contracts, and regression tests.
Security and compliance
Review changes against data flows, policies, audit needs, ownership, and release evidence.
Production debugging
Use logs, traces, infra config, docs, incidents, and repo context in one investigation.
Join waitlist
Build a software factory for production-ready delivery.
For teams that want agents and engineers to coordinate the work, verify the change, and carry organizational learning into every run.