CapNexus Forward Deployed Engineering: Agentic Engineering

You already have the tools: copilots in the IDEs, agents in the pipeline, RPG and COBOL assistants on the roadmap. What most teams lack is the engineering discipline that makes agents produce trustworthy delivery: planning work an agent can execute on the first attempt, giving it an environment where it can verify its own output, reviewing what it produces, knowing when to trust it with more, and banking every gain so the next task starts further ahead. Without that discipline, AI works in pockets across your estate and nobody can say where it will work next.

How it works CapNexus embeds engineers who do agentic engineering for a living inside your teams, on your actual tickets. This is not a training program next to the work. Your developers sit in the pairing seat every day: first they watch a spec become working software through planned, reviewed, agent-executed delivery; then they drive while we navigate; then we take our hands off the keyboard. It works the same whether the code is a modern service or a forty-year-old RPG program.

What your developers can do afterward • Turn a request into a spec an agent executes cleanly • Build and trust a verification loop instead of reading every line • Tell an agent that's working from one that's guessing, and fix the second • Carry the method to the next codebase without us

What stays behind Each codebase gets a factory your team operates: a steering layer your agents read, agent roles configured for that code, a template library built from your actual problem classes, and delivery instrumentation. The factory is paid for only when one of your developers runs it on real work unaided. The capability lands in the teams you already have, while you hire.

Codebase readiness A human engineer compensates for what a codebase lacks. An agent can't; it guesses. We measure readiness with eight evidence-based checks, scored 0 to 4 from the actual code by a published instrument you can read, audit, and run yourselves with any agent your security team has approved. The checks are the same on every platform; the passing bar is expressed in each platform's own terms. On legacy platforms, getting source under modern version control is scoped as first-class work.

Commercial model Readiness levels are verified jointly with the same instrument and paid when the evidence shows them. What your code already has is never billed. Autonomy your teams aren't ready to own never enters scope by default. Work that doesn't verify isn't paid, and duration isn't in the formula, so we carry the delivery-speed risk.

Getting started Pick a team and a codebase. Start with two or three representative baselines, one modern and one legacy. Each baseline is a small fixed fee, credited if the engagement proceeds, and the scored evidence report is yours either way. Across an estate, the baselines double as a map of where agentic engineering will take root fastest. Prefer to go first? We'll hand your team the published instrument and fold the results into scoping.