6 automatic developer types based on real work patterns. See team composition with pie charts, auto-insights, and trend analysis. No surveys required.
Every developer gets classified into one type per period (monthly or quarterly)
High-volume delivery focused
Ships features fast with good focus. High commit volume, strong velocity, efficient work patterns. The team's feature delivery engine.
Technical leadership
Handles complex changes and large initiatives. Works on high-impact architectural decisions and mentors the team on technical challenges.
Code quality guardian
Heavy review load ensures team standards. Reviews more than writes, catches bugs early, and maintains code quality across the codebase.
Team glue
High knowledge sharing and broad communication. Elevates team dynamics, onboards new members, and facilitates cross-team initiatives.
Maintenance champion
Dedicated to bug resolution and maintenance. Keeps technical debt in check and ensures production stability.
Learning & experimenting
Onboarding, learning, or experimental work. Lower shipping rate while ramping up or exploring new approaches and technologies.
Automatic classification based on your team's actual work
We analyze commits, PRs, code reviews, and other activity from your repositories.
Our system looks at code size, review activity, bug fixes, and collaboration metrics.
Each developer gets classified automatically. See your team composition at a glance.
Auto-insights help you identify common team composition patterns
Try to answer right now: What % of your team builds features vs fixes bugs? Do you have enough reviewers? Are 3+ developers stuck onboarding?
Now imagine having these answers instantly. No guessing, no surveys, just real data from your team's actual work.
Auto-Insight: Well-balanced composition with strong Builder capacity (40%), sufficient review coverage (20%), and healthy architectural guidance. Ideal for steady roadmap execution.
Best for: Mature SaaS product teams, steady roadmap execution
Auto-Insight: CRITICAL: 35% Bug Fixers (way too high) and only 5% Reviewers (way too low). Immediate intervention needed. Recommend declaring a "quality sprint" - 2 weeks tech debt only, increase review capacity.
Best for: Teams in crisis mode
Auto-Insight: 20% Exploratory indicates active onboarding. Velocity temporarily reduced. High Collaborator percentage (20%) is good for mentorship. Forecast: 3-6 months until Exploratory → Builder transition.
Best for: Teams rapidly hiring new engineers
Auto-Insight: ALERT: 60% Builders but only 5% Reviewers creates a review bottleneck. PRs pile up waiting for reviews, slowing velocity despite high output. Recommend: Rotate 2 Builders into review duty for 1 month to build review capacity.
Best for: Fast-growing teams that hired many junior devs quickly
Auto-Insight: High Architect percentage (30%) with lower Builder output indicates R&D or architectural refactoring phase. Expected during: major platform upgrades, new tech stack adoption, or architectural redesign. Velocity temporarily down but future velocity will increase.
Best for: Teams doing major refactors, platform upgrades, or POCs
Auto-Insight: Balanced between new features (30% Builders) and maintenance (20% Bug Fixers). High review coverage (25%) ensures quality. Common for mature products with established customer base. Lower velocity than growth-stage teams but higher stability.
Best for: Mature products in maintenance mode, legacy system teams
Real use cases from real teams
See if you have too many Builders and not enough Reviewers. Or 35% Bug Fixers (technical debt crisis). Build teams that work.
Know what type you're missing. If your team has only 10% Reviewers for 10 people, you know you need more review capacity.
Assign work based on natural strengths. Give complex challenges to Architects, new features to Builders, and quality work to Reviewers.
Help developers grow by understanding their natural working style. A Builder who wants to become an Architect can track their progress over time.
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