AI & Engineering
These articles are about what happens after a model can write code. Review capacity, post-merge maintenance, and supply-chain risk show up once generation gets faster. MCP is covered as a way enterprise factories connect tools. The DORA 2024 piece is about delivery stability, not a claim that a model is fast.
Other posts look at enterprise ROI, why agent pilots stay pilots, and when a team actually needs a coding factory. The common thread is an operating model: small batches, a review gate, and a person who owns the merge. Use this category to pressure-test an agent rollout before you add more agents.
Turn On AI Code Review Before Scaling Agents
Elite teams use AI code review on 57% of pull requests, while autonomous agents stay under 5%. Review agentic code before scaling those agents.
Why Agentic Code Needs More Maintenance
Agentic code often ships fast but costs more later. Learn why AI-generated commits need more corrective maintenance and how software factories prevent it.
Why AI-Generated Code Is a Supply-Chain Risk
AI-generated code is the top supply chain threat in 2026 because it accelerates vulnerable, ungoverned dependency growth faster than security teams can patch.
What Is MCP for Enterprise Software Factories?
MCP is the open context layer that lets enterprise agent factories connect AI agents to real systems, at scale, without an N by M integration mess.
Why AI Adoption Hurts Delivery Stability (DORA 2024)
DORA 2024 shows AI boosts code quality and docs yet cuts delivery stability. Learn why batch size and feedback loops matter more than model choice.
Why Agentic AI Stalls on Enterprise ROI
Agentic AI stalls because enterprises treat it as a tool upgrade instead of redesigning workflows. Here is how software factories capture ROI.
Why Enterprise AI Agent Pilots Rarely Scale
Most enterprises pilot AI agents but fail to scale them. Learn why the gap is an operating-model problem, not a model problem, and how to fix it.
When an Engineering Team Needs a Coding Factory
A coding factory is a repeatable line for code changes. Use one when the same job keeps arriving. Skip it when every change is a one-off.