Know where your engineering time actually goes
Code-level intelligence for automatic work classification, cycle time tracking, and real-time bottleneck detection.
| Work Type | % Effort | Merge Time | Review Time | Trend |
|---|---|---|---|---|
Feature | 57% | 2.1d | 6.8h | -12% |
Bug Fix | 19% | 4.2h | 1.8h | -8% |
KTLO | 14% | 3.5d | 11.2h | +5% |
Refactor | 10% | 1.8d | 5.4h | -18% |
Engineering intelligence, from your code
Cocollabs reads your code diffs to surface what no dashboard can.
Engineering Investment Breakdown
See exactly where time goes. Every PR classified as Feature, Bug, or KTLO automatically from code diffs, not titles or labels.
PRs classified
128
This week
14
Confidence
96%
Team Velocity Trends
See what your team actually ships each week — broken down by feature, bug, and maintenance. Spot output dips before they become delivery risks.
PRs shipped
247
+18%Lines merged
32.4K
+12%Active contributors
14
+2Review Flow Health
Identify stuck PRs, overloaded reviewers, and the specific bottlenecks slowing your team. Surface what's blocking before it compounds.
Weekly Engineering Digest
AI-generated narrative of everything you shipped, reviewed, and where your time went. Ready for standups, 1:1s, and performance reviews.
Week of Feb 10 - 16
What You Shipped
Payment flow overhaul, auth bug fix, CI config updates
PRs merged
4
Lines shipped
929
Cycle time
14h
From raw code to engineering decisions
Cocollabs turns raw PR data into the intelligence your team needs. The insights come from the code itself.
Investment Breakdown
Last 30 days
W1
70% feat
W2
65% feat
W3
58% feat
W4
62% feat
PRs classified
128
This week
14
Confidence
96%
Engineering Investment Distribution
See the real breakdown of where your team's engineering time goes. Every PR classified as Feature, Bug, or KTLO from actual code diffs, not titles or labels. Bring this to your next sprint retro.
- File-level code classification, aggregated to PR and team level
- Automatic Feature / Bug / KTLO breakdown without any labels
- Trend tracking shows investment drift week over week
- Evidence for 1:1s, retros, and board-level conversations
Cycle Time by Work Type
Last 30 days
Feature
2.1d
-12%Bug
4.2h
-8%KTLO
3.5d
+23%KTLO cycle time is trending up +23%. Infra PRs are waiting 2.1d for first review.
Your Slowest Work Isn't What You Think
Feature PRs merge in 2 days. KTLO takes 3.5. Nobody notices until the deploy queue backs up. Cocollabs cross-references cycle time with work type so you see where time actually bleeds — and why.
- Cycle time broken down by Feature, Bug, and KTLO — not just one number
- Surface the hidden tax: infra PRs waiting 2x longer for review
- Week-over-week trend detection catches slowdowns before they compound
- Bring the receipts to your next retro or planning session
Works with tools you already use
Connect your GitHub in 30 seconds.
Connect your repositories and see your real engineering investment breakdown — features, bugs, and maintenance — in 30 seconds.