Congrats on the PH launch!!! Such a sick product, glad it's getting recognized. If you're a coder, go download this - become a Kilo Coder!

The description looks very promising. I’ve sent it to our development team for testing.

Literally yesterday, Kilo Code Reviewer saved me from pushing a silly but hard-to-notice bug to our production docs system!

Doesn't surprise me to see another masterpiece product "Code Review"... This is a big time saver, efficient and in house way to do PR. I am so happy to be part of Kilocode- they are a step ahead of everyone. The best thing about all their products like app builder, cloud agent, sessions is that as a developer we can stay focused without having to switch to individual plugins or extensions... Kilocode is a All in One Solution! Kudos to the team

What was the biggest challenge in building an agent that handles both 'planning' and 'fixing'?

Biggest pain point is slow first reviews and repeated nitpicks. Automating that upfront with Kilo makes a lot of sense. Looking forward

I played with codereview from the Kilocode web interface, and it seems to only allow one configuration done.

I can't seem to find a way to have different reviews for different repos with different options/models/prompts.

However saying that, this has great potential to be an amazing addition to my workflows for PR's once developed a bit more.

Using it inside the KiloCode extension seems better for a lot of my current use cases while actively developing.

I like that I can switch to review mode and have it review uncommited changes before I commit.

While it does say "Recommendation: APPROVE" in the main response, I especially like that the very last bit of the summary is "APPROVE" so I can have faster workflow and decide to read more otherwise.

It still feels very early in implementation, but I'm liking what I see so far.

The fact that you can pick from 500+ models like Claude or Gemini is pretty wild! I wonder if there’s a big difference in the quality of feedback between the paid models and the free ones when it comes to catching tricky logic errors.

Reviewing PRs can be such a time-sink, so having an AI agent catch bugs before the merge sounds like a lifesaver. I’m really curious if it’s smart enough to understand the project's specific context, or if it just gives generic 'clean code' advice.

Kilo Code's model-vendor neutral approach is the right call for sensitive codebases. Being able to swap in local models for code review means diffs stay internal. Curious if the Debugger mode pairs with Architect for multi-model workflows... like reasoning in Claude, static analysis locally.

This will take the vibe coders output to the next level! Engineering reviews will be a fraction of the past.

Tried it today to review some edge functions in Supabase before deploying, and that wasn't too obscure and caught some things. Excellent feature!

Congrats on the launch! Kilo Code has really outdone itself with planning and outlining complex tasks as well as bug fixing and error analysis. Will you develop a system for integration to make it more efficient for teams to setup & separate windows or workflows?

Hi everyone! Happy coding!,

I definitely recommend trying kilocode's new "review" mode feature.

It successfully reviewed my entire spaghetti code website initially generated with a free deepseek ai model that I was unaware of it's lack of html/css coding abilities.

It successfully referenced 12 out of 13 critical 🚨errors/⚠️warnings which saved me hours of debugging.

The only warning recommendation from kilocode's review mode I could do without is a warning: "oncentextmenu=return false;" "prevents right click menu".

I purposely turned off the right click context window for an image, but it's not a big deal at all.

Overall I rate the new review code mode a 9/10, would give a 10/10 but it just released today and I never experienced perfect software.

Enjoy the ai revolution in 2026 and thank you team Kilocode for the hard work I notice you guys put in! 💯

This looks super cool! I've been battling with CodeRabbit and it doesn't seem very helpful. We're a small team and we need something that's actionable. But CR seems to mainly give me fluff than actionable insights. I'm curious - how does Kilo compare to other similar products out there? Would be great to get some insight on that.

Does Kilo limit its analysis strictly to the diff / selected changes, or can it reason about a wider scope (files, modules, usage elsewhere) in a way that adapts to the size of the repository?

From my recent experiments with AI code reviewers, most of them either:

• stay diff-only, or

• try to scan “everything” and quickly become impractical on larger repos due to long processing times.

What I’m missing is something more adaptive — e.g. scope expansion that’s proportional to repo size or dependency graph, rather than a fixed “deep analysis” mode. Curious how Kilo handles this today, and whether repo-aware scoping is part of the design.

If you are a solo-founder or are vibe coding, having this code review gives you another check on the quality and security of your code. This is far better than skipping them and is faster & less expensive than hiring a fractional worker to do it.