03.services
Three ways we ship.
Pick the engagement model that matches where your team is. All three start with the same diagnostic — we don't onboard blind. Below: scope, shape, and what you walk away with for each.
01.consultancy
AI-SDLC consultancy
Assess how your team's tooling, review practices, and delivery workflow stand up to AI-assisted work. Two-week diagnostic across PR flow, work-item discipline, agent grounding, and review depth, followed by a roadmap your eng leadership signs off on. Engagements run on Context-Driven Development — see /methodology — the same methodology Ignix67 is built with.
- Two-week diagnostic across review, planning, delivery
- Concrete upgrade roadmap with sequenced steps
- Optional embed during the upgrade execution
- Runs on Context-Driven Development (our methodology)
02.modernization
Legacy modernization
Move legacy estates forward — monolith decomposition into microservices or a modular monolith, framework and runtime upgrades, dependency and library migrations, cloud-native re-architecture. AI handles the mechanical refactor; senior engineers handle the architectural cuts and the parts that touch business invariants. Your CI stays green through every step of the migration; nothing ships until tested behaviour matches. Engagements run on Context-Driven Development — see /methodology.
- Monolith → microservices or modular monolith
- Framework / runtime upgrades (.NET, Java, Python, Node)
- Dependency and library migrations (e.g. legacy front-end frameworks)
- AI on the mechanical work, humans on the architectural cuts
- Tested through migration — your CI stays green
03.delivery
Project-based delivery
Embedded delivery pods — senior staff engineer leading an AI-augmented team — that ship features in days, not sprints, when you need outside leverage. We deliver against a written brief, hand back documented and tested code on your conventions, and stay reachable for follow-on work. Pods operate under Context-Driven Development — see /methodology — so everything we ship is review-able and audit-friendly from day one.
- Senior-staff-led pods, AI-augmented
- Days-to-weeks delivery cycles
- Hand-back ready: documented, tested, on your conventions
- Operates under Context-Driven Development (our methodology)
// next step
Send us a brief — current state, the shape of the change you're after, any constraints we should know about. We'll come back within a business day with a proposed scope.
Talk to us →