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Introducing the first agent-to-agent code review solution: Qodo’s Agentic Toolbox. Get full codebase context, your coding rules, and AI code review, brought directly to your coding agent. Available now for Claude Code, OpenAI’s Codex, and Kiro, with support for any MCP-compatible client.

49,613 次观看 • 1 个月前 •via X (Twitter)

25 条评论

Dumebi 的头像
Dumebi1 个月前

This is absolutely impressive!

Qodo 的头像
Qodo1 个月前

Explore Qodo’s Agentic Toolbox and learn how to get started:

Anthony Max 的头像
Anthony Max1 个月前

This is a really interesting approach to agent-to-agent code review. Having the review come back directly into the coding session so the agent can investigate and fix issues sounds especially useful.

Tech with Mak 的头像
Tech with Mak1 个月前

This is probably where coding agents get much more useful. Great work!!!

Mike Driscoll 的头像
Mike Driscoll1 个月前

Congrats on the launch! I am glad to see you are supporting MCP so the toolbox will work with my existing tooling easily. Looking forward to trying this out sometime!

Hasan Toor 的头像
Hasan Toor1 个月前

I always get excited when you guys launch something. Perfect tool for me to try.

Rez Karim 的头像
Rez Karim1 个月前

Agent to agent review is the right frame for this. The writer and the reviewer being the same session was always the weak part.

Raul Junco 的头像
Raul Junco1 个月前

The earlier it arrives, the easier and cheaper it is to fix the problem.

Nikki Siapno 的头像
Nikki Siapno1 个月前

Catching everything earlier in the loop is always better. Nice work with this release!

AshutoshShrivastava 的头像
AshutoshShrivastava1 个月前

moving code review from post-PR comments directly into the coding agent's inner loop saves massive review cycles.

Varik Verilion 的头像
Varik Verilion1 个月前

what's the any at the end, any editor or any agent?

Danns 的头像
Danns1 个月前

Coding agents have never had a reviewer inside the session before the PR lands. they write fast, skip the second-guess and pass every check you set up which doesn't mean the code is correct. I ran Qodo's review against my own work and it flagged real bugs I didn't plant. tbh that's the gap this fills.

Aaliya 的头像
Aaliya1 个月前

Let's connect in DM for collab

Alice The Ai Expert 的头像
Alice The Ai Expert1 个月前

Love this bringing full codebase context right into the agent is a game changer for code review!

Qodo 的头像
Qodo1 个月前

We worked hard to make full codebase, multi-repo context possible and useful for engineers using coding agents.

Anurag Karuparti 的头像
Anurag Karuparti1 个月前

I would love to try this out! I am helping customers build production-grade agentic solutions using Github Copilot. Hence, I am constantly looking for innovative ways to automate my code review process since the volume of code generation has gone up exponentially. Code generation is no longer the bottleneck but code review still is! Github Copilot + Qodo could be a powerful combination in my workflow.

Shruti 的头像
Shruti1 个月前

Hope this will builders! ship faster and stable

Csaba Kissi 的头像
Csaba Kissi1 个月前

This code review on the next level. Congrats to the team

Sebastian Buzdugan 的头像
Sebastian Buzdugan1 个月前

One of the features I was waiting for the most, can't wait to try it

Kunal Kushwaha 的头像
Kunal Kushwaha1 个月前

nice!

timo 的头像
timo1 个月前

the interesting part is what the reviewing agent is allowed to see. does it get the same context and rules as the agent that wrote the code, or is it kept blind to how the code got there on purpose?

catman 的头像
catman1 个月前

shipping for Claude Code, Codex, and Kiro matters more than another standalone review dashboard. how much of the setup is actually portable across MCP clients?

Ella Tech & Tool 的头像
Ella Tech & Tool1 个月前

Love this 🔥 Agent-to-agent reviews with full context is exactly what we need.

Elledyne Labs 的头像
Elledyne Labs1 个月前

Single-agent review is a lint with a better prompt. Two agents disagreeing is where the signal lives. We ran something similar locally and bug catch doubled when the reviewer had different context than the author. How do you resolve it when both agents disagree on a fix?

RAZA | AI EXPLORER 的头像
RAZA | AI EXPLORER1 个月前

Agent-to-agent code review is a major step toward more reliable AI coding workflows.

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