About this index

What this site is

Inside the Software Factory is an index of how engineering organisations actually build software with AI agents. Each company profile is a teardown: what tools they use, how agents fit into their development lifecycle, what patterns they follow, and how far AI has taken over routine work. The site also documents the recurring patterns that appear across companies—internal MCP gateways, model routers, quality gates, and more.

What the maturity levels mean

Each company is placed on a five-level maturity scale, adapted from the AI-SDLC Maturity Model by Sergii Bataiev. The scale scores how far AI's role has advanced across five activities—code generation, testing, code review, documentation, and deployment—not how good any single agent is at one task.

• Level 1 (Traditional): Developers write all code manually with basic tooling. Human sign-off on every change.
• Level 2 (AI-supported): AI provides passive, reactive assistance—autocomplete, suggestions, linting. Humans remain fully in control.
• Level 3 (AI-assisted): AI generates larger code blocks, multi-file changes, and tests. Every output still requires human validation.
• Level 4 (AI-native): AI generates full features from specifications, proposes structural changes, produces comprehensive test suites. Human review remains mandatory for deployment.
• Level 5 (AI-autonomous): AI is the primary implementer end to end, with at least one defined category of change that ships without a human reviewer. Humans are reserved for strategic decisions and novel cases.

A company's level reflects the most advanced practice that is widely and credibly disclosed, not the average. Placement is capped by disclosure, not capability—a company may operate above its assigned level if it simply hasn't published about it.

Read the full methodology at The maturity scale.

Who makes this

This site is published by Port.