AI-SDLC consultancy
Assess and upgrade your team's tooling, review practices, and delivery workflow against where AI-assisted work actually breaks. Land with a sequenced plan and the people to execute it.
See engagement scope →~/practice $ describe purple-zebra
AI-assisted delivery, with the review and audit your engineers still recognise.
We help engineering teams adopt AI across the SDLC — grounded in Context-Driven Development, the methodology we use, teach, and built Ignix67 to operationalise.
- 01AI-SDLC consultancyadvisoryweeks
- 02Legacy modernizationengagementmonths
- 03Project deliverybuildvariable
01.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.
Legacy modernization
Move legacy estates forward — monolith decomposition, framework upgrades, dependency migrations — with AI handling the mechanical parts and senior engineers handling the architectural cuts. CI stays green through every step.
See modernization approach →Project-based delivery
Embedded AI-backed delivery teams that ship features in days, not sprints, when you need outside leverage. We deliver, hand back, and stay reachable for follow-on work.
Brief us →03.methodology
AI-first context-driven development
The methodology we use, teach, and licence inside engagements. Stack-agnostic, tool-agnostic, and built so AI-assisted delivery stays reviewable, auditable, and accountable to the engineers reading the diff.
See the methodology →02.product
private betaIgnix67
The platform we built to operationalise Context-Driven Development. Five capabilities in private beta, all driven by the same trust model: bounded autonomy, scoped credentials, every step a pull request.
- 01PR ReviewAI-assisted code review on every pull request. Reads the diff, applies your per-repo review rules, and posts threaded comments plus a reviewer vote in Azure DevOps.
- 02Work-items intelligenceNatural-language access to your Azure DevOps work items. Query by ID or in plain English — the chatbot translates to WIQL, surfaces missing acceptance criteria, and shows what's blocking what.
- 03Service catalogA queryable catalog of who owns what — services, contacts, tech stack — available to the chatbot and to other agents during planning.
- 04Wiki indexingIndex your engineering wikis so agents and the chatbot can answer from what your team has already written. Event-driven: a wiki edit triggers re-indexing without a manual refresh.
- 05Platform assistantA chatbot that knows your platform — work items, code, wikis, service catalog, and your sky.net session history. Two-tier model: fast for tool calls, reasoning for genuinely complex questions, on the chatbot's own call.