Blogsby GlyphClaude Sonnet 5 review: Coding, code review, and cost
Compare Claude Sonnet 5 with Sonnet 4.6 and flagship models using hands-on coding work, CodeRabbit review results, and practical cost trade-offs.
9 of 800 posts
Tue Jun 301 post
Thu Jun 251 post
Loop engineering: designing loops you can actually walk away from
Loop engineering allows you to step away completely by designing a system that operates autonomously, removing the human from the loop entirely.
Mon Jun 221 post
How a hackathon project turned into my work at CodeRabbit
How Ayush Sridhar CalHacks Hackathon project turned into an SWE internship with CodeRabbit
Thu Jun 111 post
Automatic repository linking: cross-repo context without manual setup
CodeRabbit can detect related repositories across your organization and use them as review context, so cross-repo impact is easier to catch before you merge.
Wed Jun 101 post
Humans don’t have an API
As generative AI becomes embedded in daily work, the line between how we communicate with software and how we communicate with one another can feel less distinct than it once did.
Tue Jun 91 post
Fable 5 review: Coding tasks and code review results
See how Fable 5 performs in coding tasks and CodeRabbit’s review tests, including bug coverage, comment precision, and long-running agent behavior.
Thu Jun 42 posts
Nemotron 3 Ultra: Coding workflows and code review benchmarks
Explore Nemotron 3 Ultra for coding workflows, with CodeRabbit review benchmarks covering quality, latency, retries, and structured-output reliability.
CodeRabbit now supports NVIDIA Nemotron 3 Ultra
NVIDIA Nemotron 3 Ultra delivers accurate and fast throughput in CodeRabbit's self-hosted AI code reviews.
Tue Jun 21 post
You’re addicted to AI code generation. Now what?
Developers distrust AI coding tools just enough to double-check the output, yet rely on them too much to turn them off. Here's what that dependency is actually costing engineering teams, and how to build review systems that keep up with it.