How the twelve-layer system maps to GDPR, DORA, NIS2, and SOC2 — with the audit artifacts each layer produces as a side effect of normal development.
Deterministic, auto-regenerated codebase inventories embedded in your docs — the structured index that lets Claude Code stop re-deriving your architecture.
Your agent already generates the data to predict its own build failures. How we score plan steps with Bayesian pattern confidence and cascade-risk analysis.
Our real production setup, published: the hook roster, five subagents with model tiers, eight MCP servers, and the machinery that makes agent output shippable.
In-house, offshore, or AI-augmented boutique — real 2026 cost ranges for building a .NET SaaS, itemized down to the 23 features every product needs first.
Same model, three tools, one migration — measured. What Copilot's upgrade agent, plain Claude Code, and a guarded setup actually delivered, warts included.
Edit-thrashing is the quiet failure mode of coding agents — A→B→A loops that burn tokens without progress. The hook that stops it, full implementation included.
Why every C# coding agent needs compiler-grade context, the nine tool methods worth exposing, and the design rules that keep a Roslyn MCP server fast.
A complete, copy-pasteable CLAUDE.md for .NET 10 + Aspire + EF Core 10 — annotated section by section, with the reasoning behind every rule.
The complete math behind our sprint pricing — what two weeks contains, why fixed-per-sprint beats both T&M and fixed-bid, and when it's the wrong model.
The complete guardrail stack for running coding agents on production C# — twelve mechanisms, ordered as a maturity model, each with the config that makes it real.
AI agents amplify whole-program reasoning, and only a monolith gives them a whole program. The engineering case for the unfashionable architecture.
