A way to measure and optimize AI code editors, agents and review tools
Blog post from Weave
Weave, a software engineering intelligence platform co-founded by Andrew, is designed to measure and optimize the use of AI in code editors, agents, and review tools by integrating large language models (LLMs) and domain-specific machine learning. Initially launched to measure engineering productivity, Weave now offers two suites of products: one for optimizing AI setup and another for optimizing AI usage. The platform provides tools like a Cursor rules linter, which analyzes and refines rules files for AI coding tools, and a Weave Score metric to track the productivity impact of AI decisions. Additionally, Weave includes detection logic to identify AI contributions in code repositories and offers insights into the financial savings from AI adoption by correlating AI-generated work with user wage data. Through these innovations, Weave aims to help engineering teams improve their efficiency and better understand when and how to effectively utilize AI.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Coding Assistant | 2 | 1,248 | 236 | 92 | +16% |
| LLM | 2 | 4,410 | 670 | 222 | -3% |
| OpenTelemetry | 2 | 532 | 61 | 40 | +14% |
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