Products / Forge

Your AI build
team.

The CTO keeps the architecture. Forge extends the sprint.

The augmentation thesis

The work that compounds.

PR triage and review queue. Every senior engineer carries a review queue that compounds quietly. PRs pile against the pace of the sprint — not from shortage of attention, but from the structural weight of being the person whose sign-off matters. Forge absorbs the triage layer: what needs eyes today, what can wait, where the diff introduces pattern drift that nobody flagged.

Spec-to-scaffold translation. Translating a well-written spec into a working scaffold consumes the wrong hours. The gap between idea and prototype — the part where someone has to pick the framework, stand up the skeleton, write the plumbing — is recoverable time. Forge closes that gap so the engineering conversation can start at the interesting problem, not the scaffolding.

Build estimation and scoping.Build estimation and scoping pull senior technical people into the wrong conversations. “What would it take to ship X by Q3” deserves a rigorous answer, not a hallway estimate. We synthesise codebase state, velocity history, and dependency chains into a scoping brief that engineering leadership can stress-test, not build from scratch.

The work that cannot be delegated.

Architectural authority — the decisions that shape what the system becomes — belongs to the people who will defend them in production incidents and board rooms. Security sign-off, hiring judgement, customer-facing technical commitments, and the call on what not to build: these do not delegate. Forge handles the throughput. The lead engineer handles the direction.

A day with Forge
07:00

Morning build brief.

Before standup, Forge synthesises overnight CI state, open PR age, and the three blockers most likely to compress the sprint. The engineering lead walks in with a prioritised unblock list rather than a status queue to excavate.

11:30

Spec-to-scaffold handoff.

A product spec arrives for a new integration. Instead of a senior engineer spending three hours on boilerplate, Forge produces a working scaffold — structure, typed interfaces, test stubs, dependency manifest — ready to develop against. The team starts at the logic layer.

16:00

Friday scoping query.

“What would it take to ship the self-serve onboarding flow by end of month?” Forge pulls current branch state, outstanding dependencies, estimated complexity by module, and surfaces the three load-bearing assumptions in the estimate.

What the engineering lead sees

Illustrative — not live data.

PR Queue Health

3 PRs older than 7 days — flagged for senior review.

Sprint Velocity

On pace for sprint goal — trailing 4-week average held.

Build Health
MetricThresholdCurrent7d Delta
CI Pass Rate≥95%97%+1%
Mean Time to Green≤8m6m 42s−0:48
Test Coverage≥80%76%−2%
P95 Build Duration≤12m11m 14s+0:32

Test coverage 76% — below 80% threshold. Two test suites pending.

Spec-to-Ship Cycle Time
StageAvg TimeHealth
Spec → Scaffold2h 14m
Scaffold → First PR1d 4h
First PR → Merged3d 7h
Merged → Deployed0h 42m

First PR → Merged averaging 3+ days — review queue identified as primary stall.

Dependency Risk Map
DependencyStalenessSecurityBreaking
react
next
typescript
react-router
lodash
axios
jest
webpack

react-router: 2 majors behind — risk window opening.

Refactor Pipeline
Auth layer refactorIn Progress15 May, 08:00
API client consolidationScoped14 May, 16:30
Test suite migrationIn Progress13 May, 11:00
Component library splitScoped10 May, 09:00
DB query optimisationDone08 May, 14:22
The compound effect

Forge does not deliver its full value in week one. The morning brief lands on rhythm, the first scaffold ships, and PR triage begins clearing the queue. That is useful. What follows is different.

Over time, Forge builds a working model of your engineering environment — architecture patterns, dependency tolerances, the spec shapes that translate cleanly versus the ones that always generate rework. The output becomes anticipatory rather than reactive.

30 days

Morning brief, scaffold automation, and PR triage on rhythm. The engineering lead stops chasing status — the unblock list arrives.

6 months

Forge knows your architecture patterns, dependency tolerances, and which spec shapes ship cleanly. Scoping briefs need fewer assumptions.

18 months

Anticipatory refactor suggestions — load-bearing weakness flagged two release cycles before it becomes a production issue.

How we begin
01

Orientation.

Map architecture overview, sprint cadence, the velocity blockers that consume engineering time. Deliver: written operating brief.

02

Integration.

Connect to existing repos, CI/CD pipelines, design system, project management. 30-day shadow period — outputs run in parallel before reliance. Deliver: first velocity report, first code-review brief, shadow-period baseline.

03

Operation.

Full run-rate. Code review, architecture input, sprint-by-sprint. Quarterly calibration call.

04

Compound.

Pattern recognition deepens. Anticipatory bottlenecks surface before they hit velocity. The CTO starts receiving insights they did not ask for.

If engineering throughput is the constraint between the spec and the ship, that's where we start.

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