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# Anaconda bought the coding agent that refuses to pick a favorite AI model

**[Trends](https://daily.dev/sources/trends)** · 2 min read · 2 upvotes · 1 comments

## Summary

Anaconda has acquired Kilo Code, an open-source AI coding agent that reached 3 million developers in 16 months by routing tokens across 500+ models from 60+ providers. The acquisition targets a growing enterprise pain point: as AI coding costs rise (Gartner predicts they'll exceed average developer salaries by 2028), companies need governance, cost visibility, and model flexibility rather than lock-in to a single provider. Early customers using Anaconda's MCP server with Kilo's routing report 30-50% reductions in token consumption. The combined platform aims to preserve the developer-facing VS Code, JetBrains, and CLI experience while adding enterprise controls, governed packages, and per-project usage visibility. The broader trend is model-agnostic infrastructure that automatically routes tasks to cheaper models when expensive ones aren't needed.

## Content

Anaconda just acquired Kilo Code, an open-source AI coding agent with 3 million developers, 26,000 GitHub stars, and nearly 10 trillion tokens routed monthly across 500+ models. The deal closed fast, and the backstory probably explains why: Anaconda CEO David DeSanto and Kilo co-founder Sid Sijbrandij both came up through GitLab.

The strategic logic is pretty transparent. Anaconda already serves 95% of the Fortune 500 as the company that handles Python packaging and environment management. That's a foundational position — but foundational is another word for invisible. If developers start living inside AI coding agents all day, the company that owns that layer owns the relationship. Anaconda was watching that relationship drift toward Cursor, GitHub Copilot, and whoever else was winning the IDE wars.

So they bought their way in. Kilo's pitch is model neutrality: plug in OpenAI, Anthropic, Google, Mistral, or a self-hosted model, switch freely, and route tasks automatically to the cheapest model that can handle them. Early customers report 30-50% reductions in token consumption through that routing. That number matters because GitHub moved to usage-based billing in June 2026, and Gartner is predicting AI coding costs will exceed an average developer salary by 2028. Cost control is now the enterprise conversation, not adoption.

This is Anaconda's second acquisition in quick succession. They also bought Outerbounds (the Metaflow people) earlier this year. The three-layer stack they're assembling: Kilo for agentic coding, Anaconda Core for package security and governance, Outerbounds for production orchestration. The pitch to enterprises is that 80% of AI projects never reach production, and a unified governed pipeline fixes that.

The tension nobody's fully resolved yet: Kilo's appeal is its open-source flexibility and model agnosticism. Enterprise governance layers have a way of making things less flexible. Anaconda says existing Kilo users will see no immediate changes to products or pricing, which is exactly what every acquirer says. Whether the open-source community stays engaged once the enterprise roadmap starts pulling in a different direction is the real question here.

Further acquisitions in observability and agent management are reportedly possible. Anaconda is clearly trying to own the full stack before someone else does.

## Community discussion

Top comments from developers on daily.dev.

**@devfredx** · 1 upvotes

> That's good though, to some extent let's see how all this goes for them

---

Tags: [#ai](https://daily.dev/tags/ai), [#ai-agents](https://daily.dev/tags/ai-agents)

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