Kilo Code Reviewer：開源 AI 編碼助手

Kilo Code

OSS AI coding assistant for planning, building & fixing code

2.3K followers

OSS AI coding assistant for planning, building & fixing code

2.3K followers

Kilo Code Reviewer

What do you think? …

Hey Product Hunt! 👋Brian, DevRel from Kilo here. We built @Kilo Code Code Reviewer to kill PR bottlenecks.

It runs automatically when you open a PR, catching security issues, performance problems, and style inconsistencies before your teammates even look at it, and offers comments and inline suggestions.

It's completely free with models like MiniMax M2.1 and GLM 4.7 - or use the latest from @Claude by Anthropic, @Gemini, or whatever you prefer from over 500 supported models.

What's your biggest code review pain point?

LFG! keep up the great work ?makers 🐐

had a blast working with the team on this new launch, introducing Kilo Code Reviewers -- AI-powered code reviews that understand your codebase and catch bugs before merging.

First launched on @Product Hunt about a year ago, @Kilo Code is now the most popular open-source coding agent, trusted by 1M+ developers.

S/O to @sytses @scobreit and team 👏👏

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Previous Kilo Code Launches

Launched on September 28th, 2025

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Launched on March 27th, 2025

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Do you use Kilo Code?

Forum Threads

12d ago

Call for Engineers [January 2026]

OSS AI coding assistant @Kilo Code is looking for engineers to help build an ambitious roadmap.

If you're into open source, if you embrace remote work and enjoy getting things done fast, this post is for you. Read on.

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2mo ago

Kilo Code raised $8 Million in seed funding

Hot off the press! OSS AI coding assistant @Kilo Code just announced a $8 Million raise in seed funding.

@scobreit wrote in their blog announcement:

This funding accelerates our roadmap: smarter multi-agent collaboration, enterprise-grade tooling for technical leaders, and a feature set that continues to accelerate the AI flywheel for development teams using Kilo.

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4mo ago

Launching soon: Kilo Code for JetBrains

Kilo Code is an open-source, model-agnostic AI code assistant with transparent pricing.

First launched 6 months ago and after 420,000+ downloads on @VS Code and @Cursor, the team is bringing it to the @JetBrains ecosystem (IntelliJ IDEA, PyCharm, WebStorm...) and they will be live on @Product Hunt this Sunday, September 28.

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What stood out to me is the developer experience — it feels fast to get value without a bunch of setup friction.

Clear, focused UX that stays out of the way while coding

Helpful suggestions for refactors and “what’s the next step” moments

Customization is there when you need it, but the defaults are sensible

Output quality is consistently usable (less time fighting the assistant)

Overall, it’s the kind of tool you can keep open all day and trust as a teammate.

Two areas I’d love to see improved:

Pricing / cost clarity: a simple, transparent breakdown (what drives cost, typical ranges, and a few real examples) would make it easier to recommend to teams.

Integration & onboarding: more “copy-paste” quickstarts (CLI + common editors), stronger docs for edge cases, and a few ready-made templates for common workflows would reduce the learning curve.

Yes — but only once you curate a small set of MCPs you actually use. When the right tools are one click away (docs/search, tickets, repo utilities, etc.), it reduces context switching and keeps the workflow inside the agent loop.

The main risk is “tool sprawl”: too many options can add noise. A favorites/pins flow + per-project recommended MCP packs would make the marketplace even more practical.

Useful for staying honest about spend — I like having a clear view of usage over time and what’s driving it.

What would make it even better (especially for teams) is deeper attribution: cost per session/task/PR, breakdown by model + tools, plus budgets/alerts and an export (CSV) for reporting. That level of detail is what turns “analytics” into real cost control.

In practice it feels closest to the “agentic editor” workflow you get with Cline/Roo: plan → make file edits → run/iterate.

Where Kilo Code stands out for me is day-to-day ergonomics: it feels lighter-weight, faster to get started, and the UX stays out of the way during quick iterations. Roo/Cline still tend to win if you want maximum configurability and more knobs for edge cases.

Net: Kilo Code is great for consistent, repeatable “edit + test + iterate” loops; I’d reach for the others when I need deeper customization.