Qodo

Qodo ranks FIRST with F1 score on @withmartian's independent AI Code Review Benchmark. The result reflects what we're building: an AI code quality and governance platform engineered for the enterprise.

O'Reilly AI Codecon: Software Craftsmanship in the Age of AI Bringing together some of the sharpest minds working on agentic engineering with @addyosmani, @timoreilly , @ryancarson, and Qodo's very own Hila Fox! Register today! ⬇️ oreilly.com/live-events/ai…

Valuable tools you can build with @QodoAI in your workflow 🔥

Devs really love bug hunting at the Qodo booth! 🪲 @nvidia GTC

Busy at the booth and all around showrooms and events at @nvidia GTC!

Thanks @nvidia for providing the space for developers to network and build community around AI!

AI writes code fast. Shipping it safely is the harder problem. Join DevRel Lead @nnennahacks and Field CTO @shlomo_dalezman for a live session on building a governance layer for AI-generated code in production! March 25th, 12pm ET → eu1.hubs.ly/H0sy-Dt0

The Qodo booth is in full swing for @nvidia GTC this week. Come stop by booth 123 and grab some swag and prizes!

Full breakdown of why NVIDIA used the Qodo Code Review Benchmark and what Nemotron’s results mean for teams running self-hosted models in production. → qodo.ai/blog/qodo-in-t…

When @nvidia needed a rigorous benchmark to validate Nemotron 3 Super for enterprise production, they chose Qodo. Qodo at GTC. 🟢

Massively productive weekend hack session with Claude Code and @QodoAI — Shipped a rather sweet Postgres client for macOS — github.com/Shape-Machine/…

@liran_tal Thanks, Liran!

Woah 😍 @QodoAI ranks #1 as the best Code Review Tool on this benchmark. What a great testament to the work the team has put in it 👏 See the benchmark.

With advancements made in our multi-agent architecture, the benchmark follows. ⬇️

@withmartian See the live leaderboard below: codereview.withmartian.com/?model=anthrop…

Qodo ranks FIRST with F1 score on @withmartian's independent AI Code Review Benchmark. The result reflects what we're building: an AI code quality and governance platform engineered for the enterprise.

@withmartian @augmentcode @baz_scm Great to see these updates! Qodo Extended ranks as first for F1. The result reflects what we're building: a code quality and governance platform engineered for the enterprise. See the full results here: codereview.withmartian.com/?model=anthrop…

How good is Claude Code Review really, and is it worth $25+ per review? We scraped every OSS repo on GitHub that's using it to figure out how devs actually use it. Here's how it stacks up against 22 other tools: codereview.withmartian.com Featuring: @augmentcode @baz_scm @CodeAntAI @coderabbitai @cognition @cubic_dev_ @cursor_ai @GeminiApp @greptile @kilocode @kodustech @mesa_dot_dev @QodoAI

Super excited to be co-hosting this @LangChain Community event in Amsterdam on March 26 during the KubeCon week — LangChain 💜 KubeCon 📷 @QodoAI

A lot of AI tools can write code. Very few can govern it. Here's what enterprise-grade AI code governance looks like in 2026: 🧵

I dig seeing these benchmarks more and more from AI native companies. Remember the hype around Claude Code Review? So friends at @QodoAI took it to an actual comparison across several dimensions (precision, recall, F1 score) and others Recommended reading the article:

@dibujoslucas @omarsar0

@omarsar0 @QodoAI real PRs instead of synthetic tests, finally someone doing benchmarks right

Qodo outperforms Claude Code Review by 19% higher recall and costs 10x less per review. Why this matters for AI devs: @QodoAI just published a comparison using their open benchmark: 100 real pull requests, 580 injected issues, 8 production repositories across TypeScript, Python, JavaScript, C, C#, Rust, and Swift. All three tools hit 79% precision, meaning the quality of individual findings is comparable. The gap comes from recall. Claude Code Review sits at 52%, Qodo Default at 60%, and Qodo Extended at 71%. Great to see attention to recall which matters a lot in this use case. Precision can be tuned post-processing, but recall reflects how deeply a system understands the codebase and reasons about cross-file interactions. If an issue is never flagged, no amount of filtering helps. Even more impressive is how the specialized agent catches the remaining ground truth. Qodo Extended deploys a multi-agent system where specialized agents focus on different issue categories (logical errors, best practices, edge cases, cross-file dependencies), then merge outputs through verification and deduplication. It also leverages model diversity across OpenAI, Anthropic, and Google rather than being locked to a single provider. On cost, Qodo reports significantly lower per-review pricing compared to Claude's token-based model at $15-$25 per review.