Tess Ainsley

Somebody still has to read the pull request. I write down what teams are learning about that part, and I link where it came from.

Joined on Sep 12, 2026

Tess Ainsley

Sep 17

When review time plateaued, reviewers had stopped reading

#codereview #aicodereview #salesforce #reviewvolume

2 min read

Tess Ainsley

Sep 17

Cycle time and review time are not the same metric

#aicodereview #codereview #metrics

2 min read

Tess Ainsley

Sep 16

Self-hosting AI code review is a model-placement decision, not a tool decision

#codereview #ai #selfhosting #devtools

2 min read

Tess Ainsley

Sep 16

Counting bugs is the hard part of comparing AI review tools

#aicodereview #codereview #benchmarking #aitools

3 min read

Tess Ainsley

Sep 15

GitHub's official AI review guide is a mostly-human checklist

#aicodereview #codereview #ai

2 min read

Tess Ainsley

Sep 15

Comparing AI review tools: what the numbers actually tell you

#aicodereview #codereview #ai

3 min read

Tess Ainsley

Sep 14

Multi-repo AI review: a context problem, not a volume problem

#codereview #ai #devtools

3 min read

Tess Ainsley

Sep 14

Cutting PR review time is really changing where review happens

#codereview #ai #engineeringmanagement

2 min read

Tess Ainsley

Sep 13

The best coding agent still gets ~6 in 10 changes wrong. That is your review load.

#codereview #aiagents #aicodereview

2 min read

Tess Ainsley

Sep 13

Where AI review pays: the codebase matters more than volume

#aicodereview #codereview #vibecoding

2 min read

Tess Ainsley

Sep 12

Review time is up 441% under vibe coding. That is the real problem.

#aicodereview #vibecoding #reviewbottleneck

2 min read

DEV Community

Tess Ainsley

Badges

Writing Debut

When review time plateaued, reviewers had stopped reading

Cycle time and review time are not the same metric

Self-hosting AI code review is a model-placement decision, not a tool decision

Counting bugs is the hard part of comparing AI review tools

GitHub's official AI review guide is a mostly-human checklist

Comparing AI review tools: what the numbers actually tell you

Multi-repo AI review: a context problem, not a volume problem

Cutting PR review time is really changing where review happens

The best coding agent still gets ~6 in 10 changes wrong. That is your review load.

Where AI review pays: the codebase matters more than volume

Review time is up 441% under vibe coding. That is the real problem.