Product intent in. Working software out.

The single front door, and how a decision survives the person who made it.

Intent capture and elicitation

A durable intake of requests and desired outcomes in plain language, with provenance, priority and business context, followed by an interview that covers the genuine forks and skips the boilerplate.

Specification synthesis

A structured brief of goals, scope, constraints, acceptance criteria and the surface affected. It is the contract every later stage builds against.

Adversarial design review

Independent agents generate competing approaches and a judge panel scores them for correctness, security, fit to established patterns and blast radius, then synthesises the strongest design from the field.

Decision records and architecture model

The chosen design and its rationale are captured as referenceable decision records, and the architecture model is regenerated continuously from the real subsystems so the system's description of itself stays true by construction.

A fully ordered, dependency-aware plan that is validated structurally rather than reviewed by eye.

Decomposition

A design becomes a hierarchy of streams, milestones, phases and work items, each the smallest safe unit of change with explicit acceptance criteria.

Dependency graph

Inter-task dependencies are modelled with cycle detection and forward-only ordering, so readiness is computed and provable rather than guessed.

Validation on every write

Unique identity, ordering, acyclicity, reference resolution and structured work-item rules are enforced intrinsically, and any write that would violate the model is rolled back.

Projection to the board

The validated plan is projected onto the task board the fleet claims from, keeping the plan and its execution one and the same thing.

Who is building what, what they may start next, and where they build it.

Worker registry and atomic claim

First-class records for every agent worker, its harness, current model, status and active task, and an atomic claim of the next dependency-ready task so no two agents collide and no blocked work is ever started.

Autonomous distribution

A dispatcher assigns and rebalances work across the fleet from priority, blockers, focus and worker history, and runs leader-only across the cluster.

Isolated workspaces

Per-agent worktrees and reproducible development environments, so many agents build in parallel without interfering with one another.

Session capture

Every session, its turns, tool calls, model, tokens, cost and outcome, streams into a durable, queryable timeline for audit and improvement.

Nothing ships unproven. Each layer must be green before the next one runs.

Repository validation

Configuration, dependency-graph, schema, contract and lint checks: fast, deterministic gates that fail closed on any drift.

Automated testing

Unit and integration tests run on every change as the first proof of correctness.

Code and security review

Adversarial review agents hunt correctness bugs, simplifications and security issues, defaulting to refute-and-verify rather than rubber-stamp.

Live testing

Declared suites run against actually deployed services in production-like environments, with request, trace, log and metric diagnostics attached. This is the proof a feature truly works.

Parallel agent work integrates continuously and promotes immutably, gated on real outcomes rather than on elapsed time.

Structured branch model

A three-tier hierarchy from task to story to the shared integration line keeps parallel work isolated while it continuously integrates, with changes shepherded and merged through scripted, idempotent steps.

Artefact-driven promotion

Immutable build artefacts are promoted across environments by declaring desired state, so what was tested is exactly what ships.

Convergence waits

Deployment events are subscribed to and waited on, so deployed means observed-healthy rather than fire-and-forget.

Canary and rollback

Progressive rollout with automatic rollback the moment health or live tests regress.

The loop that closes the factory back on itself and makes it improve.

Observability feedback

Dashboards, alerts and metrics from running software surface regressions and operational risk as first-class signals into planning.

Defect capture

Failures and live-test regressions are captured as structured defects and fed back into the plan automatically.

Drift detection

Divergence between the plan, architecture, contracts and documentation, and reality, is detected, and corrective work is opened to close the gap.

Retrospectives

Captured sessions and delivery telemetry are mined to improve prompts, rules and process over time. The factory learns from its own output.