What we do

Services.

CodeFusion Labs is a solo practice. Engagements run directly with me. When a project needs more hands (engineers to hire, onboard, and own the work after I’m gone), I help build that team into your company, not subcontract it through mine. You end an engagement with a team you own, not a dependency on me. Below are the five engagements I take on. If your situation looks like one of these, we should talk. If it doesn’t, we should still talk — I’ll tell you honestly whether I can help.

• 01

  Custom Software Development

  You need software built and want a staff-level engineer with shipping experience, not a body shop.

  For when: You need software built and you would rather have a staff-level engineer with shipping experience than a body shop.

  What you get: End-to-end product development — discovery, architecture, build, ship. Most often modern web applications (React, TypeScript, Node, Ruby, .NET on the backend depending on fit), but the framework is chosen for your problem, not for my résumé.

  Typical shape: Fixed-scope project, 6–16 weeks. Or staff-level augmentation for longer builds.

• 02

  Fractional Engineering Leadership

  You need a staff-level engineering voice — or you’re about to build a team and want it built well from the first hire.

  For when: You need a staff-level engineering voice in the room — either because you have engineers but no staff-level technical leader, or because you are about to build a team and you want it built well from the first hire.

  What you get: Two flavors of the same service, depending on what you actually need.

  • Leadership retainer. I act as your staff-level engineering counterpart — architecture decisions, process design, mentorship for your existing leads, and a direct technical voice for your product and operations leaders. Often a bridge to your first full-time engineering executive hire (and I will help you find them).
  • Team buildout. I help you design the team you need, hire the engineers (interviewed and onboarded directly into your company, not through me), and run the work until your team can run it themselves. You end the engagement with a team you own. This is the model I used at Tap N Go and on the PULSE engagement for FutureBylt.

  Typical shape: 1–2 days per week for 3–6 months, structured around either flavor — or a phased mix of both.

• Sounds like your situation? Say so →

• 03

  Engineering Team Coaching

  You have managers promoted into the role who were never given the tools to succeed in it.

  For when: You have engineering managers who were promoted into the role and have not been given the tools to succeed in it.

  What you get: Working with your engineering managers and leads on the parts of the job nobody taught them — 1:1s, performance conversations, sprint hygiene, technical decision-making, hiring loops, cross-functional collaboration. Not theory. Specific situations, specific advice.

  Typical shape: Monthly retainer covering scheduled sessions and on-call advice when something is on fire.

• 04

  Legacy System Modernization

  A system that’s run your business for 5–10 years is slowing you down — but a rewrite is too risky.

  For when: A system that has been running your business for 5–10 years is starting to slow you down — but a full rewrite is too risky to bet the business on.

  What you get: A clear-eyed assessment of what the system actually does, where the real pain is, and the smallest set of changes that solves the largest portion of the problem. Then either the work itself, or a plan your team can execute.

  Typical shape: Two phases — a 2–4 week assessment, then either implementation (variable scope) or handoff to your team.

• Sounds like your situation? Say so →

• 05

  AI-Accelerated Software Development & AI-Enabled Solutions

  You want software built faster without sacrificing architecture — or AI built into your product as engineering, not a demo.

  For when: You want software shipped faster without sacrificing architecture or maintainability; or AI built into your product as real engineering, not a demo; or a read on whether your team is using AI tools well.

  What you get: Three related offerings.

  • Delivery, accelerated. I ship your software with AI as part of how it gets built — more done per week, at lower cost, with architecture, testing, and maintainability kept intact. PULSE (FutureBylt) is the proof point.
  • AI-enabled solutions. When AI belongs inside your product (retrieval over your content, drafting, classification, internal copilots), I build it as engineering: scoped to a real problem, integrated, tested, observable, and maintainable by your team after I am gone.
  • AI workflow coaching. I work with your engineers on what actually works — shipping fast with AI while keeping the rigor, spotting the failure modes, and setting the guardrails (test discipline, architecture and code review).

  Typical shape: Delivery is scoped like any other build; AI-enabled solutions start with a 1–2 week discovery, then implementation; coaching is 2–4 weeks with your team.

  The discipline — and the boundary: Same as every build: start with the problem, not the technology. The cases worth doing get real engineering — RAG when answers must be grounded in your data, evaluation harnesses to know whether it is getting better or worse, observability for the failure modes that bite six months in. This is not a machine-learning research shop: "train a custom foundation model" is not me; "a real workflow an LLM-backed system could meaningfully improve, built well" is the engagement.