1.0 Repository Intelligence for Engineering Leaders

Make team and architecture decisions on evidence, not instinct

Calyntro turns your Git history into a strategic map of knowledge risk, team coupling, and architectural drift — giving CTOs and Engineering Managers the quantitative foundation their decisions have been missing.

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Calyntro · Data Analysis Dashboard · Overview
Calyntro Data Analysis Dashboard – Overview
3 scopes
File · Module · Team
Git-native
No agents, no instrumentation
Open API
Every metric accessible via REST
Your data
Stays in your infrastructure
The Problem

Engineering leaders are making structural decisions blind

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Team boundaries don't match code ownership
Features require coordination across teams because the work follows hidden knowledge boundaries, not org chart lines. Every cross-team dependency is coordination overhead — and it compounds silently over years.
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Knowledge walks out the door unnoticed
When a key engineer leaves, their understanding of critical modules leaves with them. In professionally maintained codebases, a single developer often holds exclusive knowledge of hundreds of files — the gap only surfaces when something breaks.
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Technical debt is invisible until it hurts
High churn plus rising complexity equals the next incident. Without objective metrics, these files stay off the radar until they cause missed sprints, build-time explosions, or production outages.
→ Calyntro translates your Git history into an always-current risk and ownership map — surfacing hotspots, knowledge silos, and team coupling before they escalate into incidents or reorganisations gone wrong.
Why Calyntro
Temporal Ownership
Tracks who owned code when it was written, not just recent activity. Captures the knowledge that org charts miss entirely.
Fully Open API
Every metric Calyntro calculates is accessible via REST. Build your own Grafana dashboard. Nothing locked in a proprietary format.
No Per-Author Pricing
Costs stay flat as your team grows. Decisions are made by architects — not 60 developers who never open the tool.
Data Sovereignty
Self-hosted means your code never leaves your infrastructure. No firewall exceptions. No third-party data processing agreements.
Operational Excellence

Spot your next incident before it happens

The Hotspot Heatmap combines five dimensions simultaneously — complexity, change frequency, silo risk, absolute churn, and file age — colour-coded across all modules. Critical areas are impossible to miss, and the data is quantitative: exportable, reportable, and actionable.

Hotspot Analysis
Five dimensions in one view: Complexity, Change Frequency, Silo Risk, Absolute Churn, and File Age — heatmap-coloured from low to critical.
Absolute Churn
Lines added + deleted reveal files being heavily reworked — a leading indicator of unclear requirements or architectural problems.
Complexity Trend
Tracks Cognitive Complexity over time per module. A rising trend in a high-churn module is a code-red signal.
Silo Risk
Percentage of files owned by a single developer per module — bus factor risk surfaced at a glance across your entire architecture.
Hotspot Analysis · Module Level · All Modules
Hotspot Analysis – Module Level, All Modules
Real data: Calyntro analysed against the MongoDB open-source repository — no synthetic data, no cherry-picked examples.
Strategic Planning & Stability

From gut feeling to architectural evidence

The Scatter Analysis maps every module by complexity vs. churn — instantly revealing which components are priority hotspots, legacy risks, or healthy and stable. The evidence base your roadmap conversations have been missing.

Scatter Analysis
Complexity × Churn with four quadrants: Hotspot (priority), Non-critical, Legacy risk, Healthy. Bubble size = code age.
Code Map
Treemap view: area = Lines of Code, colour = risk score. A dominant red block is impossible to ignore — no report needed.
Trend Analysis
Complexity, LOC, Silo Ratio and Commits over time per module — toggle individual modules to isolate trends.
Module Change Frequency
Total commits per module with main contributor — reveals "god modules" absorbing disproportionate maintenance effort.
Scatter Analysis · Complexity × Churn
Scatter Analysis
Code Map · Risk & Size per Module
Code Map
Real data: Calyntro analysed against the MongoDB open-source repository — no synthetic data, no cherry-picked examples.
Knowledge Risk

Know who holds critical knowledge — before they hand in their notice

Calyntro's Knowledge Risk dashboard turns your Git history into a complete ownership map: KPI cards, module risk scores, a developer breakdown with module ownership tags, top-risk files ranked by activity × concentration, and a month-by-month silo trend.

Bus Factor KPIs
Three KPI cards at a glance: % of files with a bus factor of one, how many modules carry elevated or critical exposure, and how many sole-owner developers are flagged at risk.
Module Risk Scores
Every module ranked from low to critical with a quantified risk score. No guesswork — just the modules that need attention, ordered by severity.
Key Persons & Module Breakdown
Developer-level view: who owns how many files, at what average concentration, and across which modules. Critical / Watch / Stable status makes risk conversations concrete.
Temporal Ownership
Tracks who owned code when it was written, not just recent activity. Captures historical accountability that current team rosters and org charts miss entirely.
Top Risky Files
Ranked by activity × ownership concentration. A file touched 200 times by one person is far riskier than a 2-commit file at 100% — and this view shows it.
Silo Ratio Trend
Month-by-month chart of your knowledge concentration. A rising trend signals that ownership is narrowing — a strategic warning, not just a snapshot.
Knowledge Risk · Module Level · MongoDB repository
Knowledge Risk – MongoDB repository
Real data: Calyntro analysed against the MongoDB open-source repository — no synthetic data, no cherry-picked examples.
Team Structure

Optimise your team structure using the evidence in your commits

Change Coupling reveals which modules are modified together in the same commits — even when no explicit dependency exists. Cross that with ownership data and your current team structure, and you can quantify exactly where team boundaries generate coordination overhead.

Change Coupling — Module Level · Cross-team dependencies
auth ↔ session
73% commits shared · owners: Team A + Team B
payment ↔ billing-api
51% commits shared · owners: Team C + Team C
reporting ↔ analytics
18% commits shared · owners: Team D + Team D
Change Coupling
Modules modified together in the same commits — quantified as a percentage. A hidden dependency that static analysis cannot see because it emerges from behaviour, not code structure.
Cross-Team Coupling Risk
When coupled modules belong to different teams, every shared commit is a coordination event. This view makes the overhead measurable — and the team restructuring case concrete.
Team Alignment
Maps which teams effectively own which modules based on commit history. Reveals drift between the intended architecture and where development effort actually lands.
Teamschnitt Support
Combines coupling, ownership, and team data into a quantitative basis for restructuring decisions. The analysis that previously took days of manual work — automated.
How Calyntro fits your toolstack

Complementary, not competitive

Static analysis tools tell you where your code has problems today. Calyntro tells you whether your team is structured to fix them — and who still understands the code well enough to do it.

SonarQube / Teamscale
Code Quality
Static analysis, test coverage, technical debt in new code. Answers: "Is the code good today?"
Calyntro
Team & Architecture Intelligence
Ownership, coupling, knowledge risk, team alignment. Answers: "Can our team maintain and evolve it?"
Jira / Linear
Work Tracking
Sprint progress, issue tracking, delivery velocity. Answers: "What is the team working on?"
How we work

From first conversation to decision-ready insight

1
We talk about your team structure and pain points
A direct conversation about where coordination breaks down, which decisions are currently driven by instinct rather than data, and what your team topology should look like. No forms, no sales cycle — just an honest discussion about where you are.
Team structure review Pain point mapping
2
We run the analysis — on your infrastructure
Calyntro analyses your Git history: complexity trends, knowledge silos, change coupling patterns, and ownership concentration across modules and teams. Your code never leaves your infrastructure. We work with aggregated metrics only.
Hotspot analysis Silo risk map Change coupling Team alignment
3
We walk through the findings — with concrete recommendations
Not a dashboard hand-off. A structured review of what the data shows, what it means for your team boundaries and architecture, and where to focus first. Findings are quantitative, exportable, and ready for management reporting.
Prioritised findings Team restructuring options Management-ready output
4
Ongoing monitoring — on your terms
Regular analysis cadence to track whether interventions are working: is the silo ratio improving? Are coupling scores between teams decreasing? Are complexity trends stabilising after a refactoring sprint? The data tells you — without waiting for the next incident.
Trend monitoring Intervention tracking REST API access

Your Git history already holds the answers

Calyntro surfaces them. Get in touch to discuss what a codebase and team-structure analysis would look like for your organisation.

Get in touch → Read the blog
Your data stays in your infrastructure Git-native · no agents required Open REST API · no lock-in No per-author pricing
Get in touch

Let's talk about your codebase.

Whether you're evaluating a move away from your current tooling, want to make a data-driven case for team restructuring, or simply want to understand where your knowledge risk lives — we read every message.

→Codebase and team-structure risk analysis
→Replacing or complementing existing tooling
→Questions about methodology and metrics
→Ongoing advisory and monitoring
We usually reply within one business day.