kubernetes GitHub Comments Analytics

Evolution of Comments with EMA and RSI

Sentiment Evolution Over Time

Sentiment Distribution

Negative: 3%

Neutral: 83%

Positive: 14%

Comment Type Evolution Over Time

Comment Type Distribution

General Feedback: 64%

Bug Report: 11%

Question: 11%

Testing Related: 7%

Documentation Request: 3%

Suggestion: 2%

Approval: 1%

Refactor Suggestion: 1%

Nitpick: 1%

Performance Feedback: 0%

Technical Category Distribution

Testing: 29%

Security: 18%

Deployment: 17%

Database: 9%

Performance: 9%

Backend: 7%

Architecture: 6%

Code Quality: 4%

Frontend: 0%

Urgency Distribution

Low: 66%

Medium: 17%

High: 6%

Critical: 11%

Developers' Comments Indicators Table

Developer	Comments	Avg Words	Avg Urgency	Tech Depth	Sentiment	Readability	Constructiveness	Questions	Action Items	Approval %	Impact Score
pohly	200	59	1.44	1.9	0.06	6.3	5.1	57	111	2.5	2.51
liggitt	163	53	1.17	1.64	0.06	4.35	5.11	61	82	1.2	2.37
bart0sh	86	23	0.83	1.04	0.08	6.96	5.35	31	39	2.3	2.13
lmktfy	81	25	0.81	1.48	0.07	6.65	5.1	7	15	1.2	2.14
kfess	71	17	0.41	0.86	0.01	3.07	5	0	4	0	1.88

1 to 5 of 200

Rows per page:

Repositories' Comments Indicators Table

Repository	Comments	Total Words	Avg Urgency	Tech Depth	Sentiment	Readability	Constructiveness	Positive %	High Priority
kubernetes	1114	45359	1.2	1.62	0.06	6.03	5.12	78.4	184
website	443	7680	0.76	1.52	0.06	5.06	5.07	90.3	28
autoscaler	196	7311	1.06	1.85	0.11	5.84	5.09	92.5	29
enhancements	71	2396	0.82	1.46	0.05	5.79	5.03	75	8
test-infra	56	1370	1.13	1.38	0.08	5.4	5.06	91.7	11

1 to 5 of 17

Rows per page:

Our Mission

AI has fundamentally changed software development. Gitlights exists to help engineering leaders navigate this shift. We measure what traditional analytics can't: the real value each developer brings as an individual contributor. Because in a world where anyone can generate code, understanding who drives real impact is the new competitive advantage.

Resources

v2.8.0