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AI-Native SDLC

Maturity Matrix

Built from dozens of real engineering engagements. 60 practices, 4 perspectives, 5 levels - the opinionated map of how organizations actually go from first Copilot license to self-driving codebase.

Five Levels of AI Maturity

L1
Ad-hocSidebar chat, no process
L2
GuidedCLAUDE.md, basic rules
L3
SystematicMCP, lint-as-architecture
L4
OptimizedOne-shot agents, auto-merge
L5
AutonomousSelf-driving codebase

Every engineering team asks the same questions. What do we standardize first? When does agent infrastructure pay off? How do we know our delivery process is ready?

We built this matrix from real engagements - dozens of teams, startups to regulated enterprises. Not theory. Patterns that actually worked.

How It Works

Find where you are. See exactly what the next level looks like. Close the gap.

Explore the Matrix

60 practices across 4 perspectives and 5 maturity levels. Every one backed by real patterns from real teams.

Know What's Next

Each level spells out exactly what the next stage looks like - what to invest in, what to expect, what to skip.

Key Insights

Context Engineering is the new DevOps.

Most companies are at Level 1-2 and think AI doesn't work. AI works great - at Level 4.

Start with context and infrastructure, not the model.

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AI Radar

Live feed of AI engineering signals. Articles, tools, and patterns tracked daily across all four matrix perspectives.

Open AI Radar