Qodo

As we head into the holiday weekend 🦃, a huge thank you from all of us at Qodo to our customers, partners, and community. Your trust, feedback, and collaboration push us to raise the bar every day, focused on improving the quality of how great software is built. We’re grateful for the chance to build with you, learn from you, and celebrate the wins together. 🙏✨

Before you head out for the holiday weekend…lock in your AWS re:Invent plans 🎯 Meet Qodo next week to see how AI Code Review can raise quality and speed, AND snag a VIP bracelet to our happy hour at Morimoto (MGM Grand) with live music from DJs Alick Friedman ☁️ & Dana Fine! 🎧 3 quick steps: -- Book a booth meeting: https://lnkd.in/evJNffAG -- Pick a time that works -- Pick up your VIP bracelet at Qodo booth #1571! See you in Vegas!

Codebase understanding beats guesswork. In the AI era, quality depends on how well your AI software development workflows understand the whole codebase: cross-repo history, dependencies, standards, and tests; not just the file in front of it. That’s how you cut noise, catch deeper risks, and deploy with confidence. We’re proud that Qodo was ranked highest for Codebase Understanding in the 2025 Gartner® Critical Capabilities for AI Coding Assistants, recognizing the importance of deep context understanding and high precision/recall for enterprise software development. If you want to learn more about how to scale AI software development safely, read more about the critical capabilities, such as codebase context, that are required. 👉 Get the report: https://lnkd.in/dxR865JG

The Quality Crisis has Begun... Last week at AI Engineer Code Summit, Itamar Friedman unpacked the State of AI Code Quality and why leaders need systemic quality gates, not just faster suggestions. Itamar highlighted how: * 82–92% developer adoption of AI coding tools * ~3× productivity boost in writing code * But 67% of teams report it’s getting harder to maintain quality What we’re seeing on the ground?? * AI code-gen adoption is exploding. * Speed ≠ quality: without context and policy, noise sneaks into production. * Most orgs still lack AI-era QA frameworks (standards, verification, evidence). Takeaway: Context beats guesswork. Teams need review systems that are local (IDE), codebase-wide (cross-repo context), and policy-aware so that every change carries evidence, not vibes. How is quality crisis impacting your dev team?

Heading to AWS re:Invent next week? ☕️ Let's talk Code Quality and Quality Coffee! The Qodo team would love to say hi and buy your coffee! Grab a quick slot here: https://lnkd.in/evJNffAG and we'll send over your gift card. We’ll meet at the booth #1571, talk AI code review + code quality, and your caffeine is on us. 😄 See you in Vegas! 

Qodo is heading to AWS re:Invent (Dec 1–4)! We want to meet you there... Here are 3 easy ways to connect in Vegas: - Book & attend a demo (pre-event) → snag a VIP bracelet for our on-site Code re:View Lounge party. Limited to the first 50 attendees--move fast. - Meet at our booth → swing by Booth #1571 for a live walkthrough of how Qodo standardizes AI code quality across PRs, IDEs, and CI. - Join our Happy Hour → Morimoto at MGM Grand, Dec 3 @ 6:00pm. Network with the Qodo team and fellow engineering leaders! Full details + sign-ups here: www.qodo.ai/reinvent 

🚨 New read on VentureBeat: “How context engineering can save your company from AI vibe-code overload.” It nails a problem we see daily. AI can draft code fast, but without the right context, reviews get noisy and quality drifts. At monday.com, teams tackled this head-on with Qodo, AI Code Review. By bringing ticket context, repo history, and test signals into every PR, Qodo turns code review from “vibes” into evidence, including clear diffs, crisp explanations, and actionable fixes that uphold standards at scale. Result: faster reviews and higher confidence in what ships. Why it works: • Context engineering → Qodo enriches each PR with the data reviewers actually need (linked work items, discussions, relevant files, CI signals). • Workflow-native → Deep integrations across GitHub/GitLab/Bitbucket and monday dev keep quality checks where work happens. Thanks Guy Regev for a great conversation! Read the full article here: https://lnkd.in/g3bAPBSR

AI is accelerating code generation, but is your code review process keeping up? Developers are shipping more code than ever, but traditional review cycles can't match the pace. Manual reviews don't scale, and catching issues at the PR stage is too late. Join Itamar Friedman, Co-founder and CEO of Qodo, AI Code Review, and Lotem Fridman AI Engineering Lead at monday.com, to learn how leading teams balance AI velocity with quality through a quality-first development culture. We’ll talk about:  ✅ Shift-left code review in your IDE  ✅ AI-powered PR analysis and security insights  ✅ Automated quality enforcement at scale  ✅ Real-world stories from monday.com! Join us THIS Weds at 12:00pm ET. Register here: https://lnkd.in/eCsFbedT

Join Qodo, Snyk, and Tessl next week in NYC to talk about AI Code Quality & Security. Itamar Friedman and Liran Tal will discuss the intersection of quality and security, and the importance of both as we define the next generation of software development. Space is limited - register here! https://luma.com/krjrdjtg