The industry’s first computable model of AI engineering maturity.
Like self-driving, AI-native engineering isn’t binary — it’s a progression.
AI Impact Measurement
Unlock the full potential
of your Engineering Org
Larridin helps you accelerate your engineering impact by giving everyone in your engineering organization the insights and tools to scale what’s working and fix what isn’t.
Trusted by AI-forward enterprises
Understand. Measure. Act.
Accelerate your teams AI Native Transformation
Three steps from flying blind to driving transformation.
01 Diagnostics
Are we shipping faster?
AI First metrics that measure actual work shipped
Velocity, quality, cycle time, delivery confidence, and developer experience — measured with metrics designed for how software is built today, not 2022.
02 AI Impact
Stop producing AI Code Slop.
Ship higher quality code
Novel metrics that no other platform measures: AI Slop Index, AI Code Share, Code Durability, and real ROI — the answers every leader needs but can’t get today.
03 Proactive Coaching & Recommendations
Weekly AI Recommendations to make your teams more AI Native
Specific issues surfaced from your data, targeted actions for ICs, EMs, and leaders — delivered weekly, personalized to each team’s context.
The Framework
5 Levels of AI-Native Engineering
Level 1
AI-Assisted
Autocomplete and suggestions. All decisions human-led.
AI Tool Adoption Rate
Tracking who has access and initial usage frequency.
Level 2
80% of teams are here
AI-Augmented
AI handles boilerplate and scaffolding. Engineers direct everything.
AI Adoption Breadth
% of engineers actively using AI tools daily with measurable engagement.
Level 3
Spec-Centric
Agents work within specs. Engineers define, review, validate.
% of Code Generated by AI
— measuring AI share, code durability, and slop index across all repos.
Level 4
Agentic
Agents handle most implementation. Engineers shift to architecture.
Cost/PR & Spec Conversion
— measuring cost efficiency of AI-driven development.
Level 5
Full Autonomy
Agents operate end-to-end from business goals.
% of Fully Autonomous Workflows
— auto PR creation, automatic security reviews + remediation.
Why Larridin
Not Another Dashboarding Tool
Traditional Tools
- Vanity metrics (lines of code, PRs merged)
- No AI-specific measurement
- Generic recommendations
- Backward-looking reports
- One-size-fits-all
Larridin
- Complexity-adjusted throughput
- AI Slop Index, Code Durability, AI ROI
- Personalized coaching per role
- Forward-looking transformation autopilot
- Tailored to ICs, EMs, and leaders
Built for every level
From the C-suite to the Commit
VP Engineering / CTO
- Organization-wide visibility
- AI ROI justification
- Transformation roadmap
- Board-ready metrics
Directors & EMs
- Team-level diagnostics
- Coaching autopilot
- Sprint-to-sprint improvement
- Review bottleneck detection
Individual Contributors
- Personal AI effectiveness
- Skill development prompts
- Workflow optimization
- Peer benchmarking
Benchmark
See Where You Stand
Performance metrics by AI autonomy level
Stop guessing. Start building.
Join engineering leaders transforming their organizations into AI-native teams.