An Open-Source IDE and Coding Agent You Can Use Kimi-K3 With

juliangoetze1 pts0 comments

An Open-Source IDE & Coding Agent with First-Class Kimi Support · stagewise

PricingEnterpriseResources

Sign in

An Open-Source IDE and Coding Agent Built for Kimi<br>Kimi K3 is Moonshot's most capable flagship model, with 2.8T parameters, a 1M-token context, native visual understanding, and thinking mode always enabled. It handles long-horizon coding tasks, large codebases, and sustained debugging. stagewise gives it a local IDE with a coding agent built for long-running work.<br>Loading...

p+p]:mt-5">stagewise is a local IDE that ships with its own coding agent. It runs on your machine, connects to your development environment, and can orchestrate multiple agents in parallel. The runtime is model-agnostic, so you can use frontier models, open-weight models, or local inference. It also manages context aggressively, which matters once a task starts stretching across many turns. Learn more about stagewise.

p+p]:mt-5">Why Kimi K3 stands out right now<br>Kimi K3 is the world's first open-source model in the 3-trillion-parameter class, with 2.8T parameters built on Kimi Delta Attention and Attention Residuals. It combines frontier intelligence with a 1M-token context, native visual understanding, and always-on thinking.<br>It is designed for long-horizon coding, knowledge work, and reasoning. For complex multi-file refactors, deep debugging, or problems that require sustained reasoning across a large codebase, it is built to handle tasks that need frontier-grade intelligence.

Artificial Analysis Intelligence Index, via Artificial Analysis.

p+p]:mt-5">2.8T parameters with a 1M-token context<br>Kimi K3 is the first open-source model to reach 2.8 trillion parameters. It also offers a 1M-token context window — enough to load large codebases, documentation, and conversation history into a single request. That reduces the need for aggressive context pruning on all but the longest tasks, and lets the model work with a more complete picture of the project.

p+p]:mt-5">Always-on thinking mode<br>K3 always has thinking mode enabled. Thinking effort currently runs at max level, with additional effort levels coming soon. In stagewise, the runtime surfaces the thinking output so you can follow the model's reasoning as it works.

p+p]:mt-5">Native visual understanding — text and images<br>Unlike GLM or DeepSeek, Kimi K3 has native visual understanding — it accepts both text and images. It can see and reason about screenshots, design files, and UI layouts directly. That makes it suited for frontend work, UI debugging, and tasks that depend on visual appearance.

MMMU-Pro visual reasoning benchmark, via Artificial Analysis.

p+p]:mt-5">Keeping long-running Kimi tasks practical<br>Kimi K3 is strong enough that the bottleneck quickly becomes runtime efficiency rather than raw model quality. Once a task runs for dozens of turns, the agent runtime is what keeps things working.<br>The stagewise agent keeps the early part of the conversation stable across multiple turns , so the prefix stays the same from one request to the next. That improves cache hit rates and often lowers both latency and cost.<br>When the environment changes (files were changed, skills were enabled/disabled, etc.), the system does not resend the full context. If you rename a file, open a tab, or move a selection, it appends a compact state delta to the model context instead of rebuilding everything. The model still gets an up-to-date view of the workspace, but with far fewer tokens.<br>The runtime also automatically compresses context as tasks grow. Older turns are summarized and pruned so the model keeps a focused working set. That makes longer jobs feasible: multi-file features, long refactors, and extended debugging sessions.

p+p]:mt-5">Use Kimi through a stagewise Account, your Moonshot API key, or local inference<br>The default stagewise Cloud Inference is the easiest way to get started: with a stagewise Account, you get preconfigured access to Kimi models alongside a wide range of other models, all without managing a separate API key.<br>If you want to use Kimi with your own setup, you can supply your Moonshot API key directly. You can set it up during onboarding, or later in the settings.<br>If you already have Kimi access elsewhere, you can point the IDE at that setup instead. Existing API subscriptions, third-party endpoints, and local inference all work with the same runtime. See the custom providers docs for the setup details.<br>You choose the billing and hosting model that fits your setup.

p+p]:mt-5">How stagewise uses Kimi's visual understanding<br>stagewise agents can take screenshots of the website you are working on and send them to Kimi K3. The model sees what is on screen, checks visual output, and makes design corrections or resolves layout issues directly from the screenshot.

Frequently Asked Questions<br>Is stagewise just an IDE, or does it come with its own coding agent?<br>p+p]:mt-4">Both. stagewise is a coding agent orchestrator: it ships its own first-class, model-independent...

kimi stagewise model coding agent context

Related Articles