Services
Pick the scope — MVP, full product engineering, or AI-augmentation for your in-house team. Every engagement is led by a senior engineer paired with our AI agent network, with fixed acceptance criteria and written accountability.
Product engineering · senior + AI
A senior engineer owns your product from spec to production — never resold to a junior pool.
Green-field product
New product from concept to running release. The senior writes the spec, the AI agent network drafts code/tests/migrations, the senior reviews every PR.
Web and mobile applications
Default stack: Go on the backend, Svelte / TypeScript on the front. Native and cross-platform mobile where it fits. PWA where mobile parity is overkill.
Enterprise integrations
ERP / CRM / payments / billing / knowledge management — wired into your existing systems with structured logging, monitoring, and rehearsed rollback from day one.
AI-augmentation for your in-house team
Embed for 4–8 weeks and hand back an AI agent network running inside your repo — with documentation, playbooks, and a wakeable on-call.
Spec drafting agent
Turns call transcripts and tickets into structured requirements docs. Suggests edge cases. Humans sign off before anything is built.
Code-review agent
Runs on every PR alongside your reviewers. Catches plausible-but-wrong code; humans decide what merges.
Security & ops triage
Static analysis, dependency audit, secret scan on every PR. Anomaly detection on prod logs. Tickets opened automatically, owners assigned.
Architecture review & rescue
Two-week, fixed-price audit of an in-flight project. Senior engineer + AI tooling — triage report at the end, prioritised by risk.
Code & architecture audit
Cyclomatic complexity, dead code, broken abstractions, coupling. Plus a written narrative — not just a tool dump.
Security & infra review
OWASP top-10 against your endpoints, secret hygiene, IAM scope, backup integrity, RTO/RPO sanity. Pen-test-style notes where useful.
Performance & cost audit
Profile, identify hot spots, estimate cost-to-fix vs cost-to-live. Database, frontend, infra — wherever the leverage is.
How AI changes our work — and where humans stay in charge
Six steps from discovery to operate. For each step we publish what an AI agent runs autonomously, what the senior engineer owns, and how we verify the AI did not hallucinate.
Drafts a structured requirements doc from the call transcript, suggests edge cases.
Senior product engineer interrogates the goals, removes scope, signs the doc.
Sign-off captured as a commit on the spec repo; nothing is built without it.
Generates candidate task breakdown, estimates, dependency graph.
Senior re-orders by risk, kills nice-to-haves, sets weekly demo milestones.
Public sprint plan in your tracker; we report against it daily.
Writes the first draft of code, tests, and migrations off the spec.
Senior reviews each PR line-by-line, rejects anything they cannot explain.
Two-key rule: AI proposes, human merges. No exceptions.
Runs static analysis, dependency audit, secret scan, security review on every PR.
Senior triages findings, fixes them or accepts risk with a written note.
CI report on the PR; you can see it any time without asking us.
Pre-deploy: regenerates changelogs, drafts rollback plan, dry-runs migrations.
Senior approves rollout, watches the dashboard during the staged release.
Rollout marked in a public log; first failure rolls back inside one minute.
Tail-watches logs and metrics, opens issues for anomalies it spots.
Senior owns the incident — wakeable, named, and accountable.
Post-incident review published; what AI caught, what it missed, what we fixed.
Pricing
Fixed price for the agreed scope — not hours. Acceptance criteria are written before we start; if we miss them, we fix at our cost. No per-seat licensing on our work. Rescue audits flat fee, payable on report delivery.