Agentic Transformation
for n.tasc
Put AI agents into every step of how n.tasc gets built — requirement through to UAT-ready. Faster cycles, better code, testing that keeps up. Agents draft. People approve. Nothing ships without a name on it.
Your Four Outcomes
Every part of this plan traces back to one of these
Four Things That Shape This Plan
Why it is sequenced the way it is
Agents draft. People approve.
An agent at every step of the SDLC, a named human at every gate. No agent deploys, merges to a protected branch, or runs DDL. That is a permanent design choice, not a training-wheels phase.
“Production-ready” is a gate, not an adjective
Code is production-ready when it passes the same checks a human's code passes. Right now nothing enforces those checks. Building the gate is what makes generated code trustworthy.
The test net comes before the accelerator
n.tasc runs business-critical logic that clients depend on in production. Push more change through thinly tested critical logic and you get more escaped defects. Stage 2 builds the net. Stage 3 turns on generation.
Write the context down and the bottleneck moves
One person per task is the fastest arrangement when nothing is documented. Once the context is in the repo, agents can use it and so can any engineer. That is what unblocks throughput.
Plan Contents
The approach, the four outcomes, seven stages, and what we are assuming