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Announcing the latest release from Qodo: Modern engineering runs across hundreds of repos, dozens of teams, and AI that writes code faster than anyone can review it. Today, Qodo releases features built for these teams. - Cross Repo Review: Qodo now maps dependencies across your repos and catches breaking... changes before they merge. A change to a shared SDK, API contract, or database schema no longer ships before anyone knows it broke something downstream. - Rules Miner: Qodo analyzes your PR review history, recurring comments, accepted vs. rejected suggestions, and reviewer patterns, and turns them into enforceable rules. The standards that lived in senior engineers' heads are now in the system. - Skill Review Standards: Skills are now a managed entity in Qodo, with visibility, governance controls, and per-skill analytics. The instructions encoding how your team builds software are visible to the people responsible for enforcing them. All of these features are now available in BETA. Sign up for a 14-day free trial.show more

Qodo

19,706 subscribers

633,155 views • 3 months ago •via X (Twitter)

Science & Technology

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11 Comments

Qodo3 months ago

Read the full break down in a blog post here:

Nikki Siapno3 months ago

Cross-repo reviews makes a lot of sense. Great release!

Tech with Mak3 months ago

Congratulations to the team on shipping these fantastic features, really impressive work!

Raul Junco3 months ago

This is how we get real engineering Context.

Petar Ivanov3 months ago

Yesss, this new feature by Qodo is a banger!

Shrey shah3 months ago

Amazing work team!!

Sofia 🌷 💙 ❤️3 months ago

Facts!

Shamim Hossain3 months ago

That’s great

Lily Anderson2 months ago

Looks like a powerful update for engineering teams. Cross-repo reviews and dependency awareness can make AI-assisted code reviews much more reliable at scale. 🚀

Victoria Blake3 months ago

Impressive update from the Qodo team. We'd love to collaborate and help showcase these AI-powered engineering innovations to a broader developer and tech audience. Let's connect. 🚀🤝

安叫兽|Bird🕊️ 🔶 BNB3 months ago

跨库依赖这块真是大团队的痛点了

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12,797 views • 4 months ago

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613,697 views • 2 months ago

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84,497 views • 1 year ago

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am.will

69,134 views • 8 months ago

#1 skill for developers in 2026: Automate everything you can using AI. I bet my lunch your team is dealing with all of these: • Stale documentation • Outdated dependencies • Poor test coverage • Deprecated APIs Every company I work with has these same problems. You can solve all of these right now. Automatically. Using AI. Here are 3 examples. Watch the attached video: I'm using Ona Automations to tackle this. These are background agents that run in the cloud, in a fully configured dev environment with your toolchain, your dependencies, and your services. You can run an unlimited number of these agents in parallel and across all your repositories. Claude Code and Codex only run locally, so they are hard to scale, and you can't run them when your computer is closed. Ona runs in the cloud. Here are the three examples: 1. Test coverage Run a nightly automation to identify any untested code paths, generate candidate tests, verify they pass, and open draft PRs. You wake up every morning to PRs that improve your test coverage. 2. Dependency upgrades Configure a weekly automation that bumps a dependency version, runs your full test suite, and reports any regressions. If everything is clean, it opens a PR. If something breaks, it opens a report so you can decide what to do. 3. Documentation auditing Set up a weekly automation that checks recent commits against your README file and setup guides, identifies broken examples and outdated instructions, and opens a PR with fixes.

#1 skill for developers in 2026: Automate everything you can using AI. I bet my lunch your team is dealing with all of these: • Stale documentation • Outdated dependencies • Poor test coverage • Deprecated APIs Every company I work with has these same problems. You can solve all of these right now. Automatically. Using AI. Here are 3 examples. Watch the attached video: I'm using Ona Automations to tackle this. These are background agents that run in the cloud, in a fully configured dev environment with your toolchain, your dependencies, and your services. You can run an unlimited number of these agents in parallel and across all your repositories. Claude Code and Codex only run locally, so they are hard to scale, and you can't run them when your computer is closed. Ona runs in the cloud. Here are the three examples: 1. Test coverage Run a nightly automation to identify any untested code paths, generate candidate tests, verify they pass, and open draft PRs. You wake up every morning to PRs that improve your test coverage. 2. Dependency upgrades Configure a weekly automation that bumps a dependency version, runs your full test suite, and reports any regressions. If everything is clean, it opens a PR. If something breaks, it opens a report so you can decide what to do. 3. Documentation auditing Set up a weekly automation that checks recent commits against your README file and setup guides, identifies broken examples and outdated instructions, and opens a PR with fixes.

Santiago

25,804 views • 7 months ago

Today we are introducing 2 key features to JAIGP: AI Review & Open Prompting. AI review is part of 5-step process where papers get feedback from & are evaluated based on their ability to address that feedback. This means they are not stuck in an endless AI review loop. Open prompting is a newer idea. We are making all prompts we used to create JAIGP open, and also, opening up the journal's rules to the community for suggestions. You can suggest the prompt we should run next! So, if you have opinions about AI generated papers, you can share them directly with us at

Today we are introducing 2 key features to JAIGP: AI Review & Open Prompting. AI review is part of 5-step process where papers get feedback from & are evaluated based on their ability to address that feedback. This means they are not stuck in an endless AI review loop. Open prompting is a newer idea. We are making all prompts we used to create JAIGP open, and also, opening up the journal's rules to the community for suggestions. You can suggest the prompt we should run next! So, if you have opinions about AI generated papers, you can share them directly with us at

César A. Hidalgo

13,453 views • 6 months ago

NVIDIA just released a repo that scans AI agent skills for security risks BEFORE you run them, which matters more than people realize now that everyone's installing random tools, skills, and MCPs from GitHub. I break down that one AND 4 other GitHub repos trending over the last 30 days in this episode of The Startup Ideas Podcast (SIP) 🧃: 1. A skill that kills AI slop finally (better writing) 2. A CRM thats built for AI agents (so you can have agents follow up, reach out etc) 3. An agent that edits your videos for you (so you can focus on creative) 4. An opensource CapCut alternative built for agents (because editing is a headache) All free, all open source. Watch my breakdown of the 5 GitHub repos trending over the last 30 days below The tools people will be talking about in six months are on GitHub today. That's the fun part of digging through GitHub right now.

NVIDIA just released a repo that scans AI agent skills for security risks BEFORE you run them, which matters more than people realize now that everyone's installing random tools, skills, and MCPs from GitHub. I break down that one AND 4 other GitHub repos trending over the last 30 days in this episode of The Startup Ideas Podcast (SIP) 🧃: 1. A skill that kills AI slop finally (better writing) 2. A CRM thats built for AI agents (so you can have agents follow up, reach out etc) 3. An agent that edits your videos for you (so you can focus on creative) 4. An opensource CapCut alternative built for agents (because editing is a headache) All free, all open source. Watch my breakdown of the 5 GitHub repos trending over the last 30 days below The tools people will be talking about in six months are on GitHub today. That's the fun part of digging through GitHub right now.

GREG ISENBERG

54,582 views • 1 month ago