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AI coding assistants vs. an AI software factory
Use both. A coding assistant is sold per seat and speeds one developer's keystrokes; a software factory is sold per delivered system, enforces policy at build time, and holds one audit trail across the organization.
AI coding assistants and AI software factories are often discussed as if they compete. They do not. They solve different problems, and most regulated enterprises will use both. A coding assistant makes an individual developer faster. A software factory delivers a governed production system the whole organization can stand behind.
What a coding assistant does well
Tools like Cursor, GitHub Copilot, and Claude Code are built for one developer at one keyboard. They autocomplete, refactor, explain code, and draft whole functions from a prompt. Sold per seat, they make individual developers measurably faster, and for that job they are very good. A software factory does not replace them.
Where the factory continues
A coding assistant has no view of the organization's architecture, no awareness of its policies, and no record of what shipped. That is by design: it is a developer tool, not infrastructure. In a regulated enterprise, the work does not end when the code is written. Someone still has to enforce the security baseline, prove compliance to an auditor, deploy the system, and keep it running for years.
That review work is not marginal. In Veracode's tests across more than 100 models, AI-generated code introduced a security flaw in 45% of tasks.
An AI software factory owns that part. Policies are enforced at build time, every output is logged to one audit trail, and the same platform that built the system also operates it.
Side by side
| Capability | AI coding assistant | AI software factory |
|---|---|---|
| Built for | One developer's productivity | Governed enterprise delivery |
| Sold as | Per seat | Per delivered, governed system (outcome-based) |
| Policy as code | No | Enforced at build time |
| Audit trail | No | One trail across the organization |
| Owns production and operations | No | Yes, from spec to running system |
| What you get | Faster developers | A governed production system |
They work together
Complement, not competitor. A specification produced by a software factory can be implemented with Claude Code, OpenAI Codex, a local coding agent, or the factory's own orchestrator. The assistant accelerates the keystrokes; the factory governs the system around them. Where the assistant stops, the factory continues.
Which one do you need?
If you want individual developers to write code faster, a coding assistant is the right tool. If you have to deliver software that passes an audit, enforces policy, and stays accountable for years, that is what an AI software factory is for. What is an AI software factory?
Taiga is an AI software factory, built for regulated enterprises in the EU, with governance enforced at every stage.
Bring the project this article made you think about.