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Anaconda acquires Kilo Code to expand enterprise AI development platform
Anaconda acquired Kilo Code, an AI platform with 3 million developers, to expand its enterprise tools. The deal integrates Kilo's coding environment into Anaconda's platform.
Anaconda, the Python and AI platform used by 95% of Fortune 500 companies, acquired Kilo Code on July 15, 2026. The open-source agentic engineering platform has more than 3 million developers and processes trillions of AI tokens each month. The acquisition pushes Anaconda further into the developer tools where AI applications are built, moving beyond its traditional package and environment management roots.
Financial terms were not disclosed. The deal follows Anaconda's earlier purchase of AI orchestration company Outerbounds and advances a strategy to create an end-to-end platform for enterprise AI development. By integrating Kilo's agentic engineering capabilities, Anaconda aims to support developers from initial coding through production deployment.
What Kilo Code brings to the platform
Kilo supports development across popular coding environments including Visual Studio Code, JetBrains, web-based tools, and command-line interfaces. It provides access to more than 500 commercial and open-source AI models without vendor lock-in. Developers can build AI-powered applications while enterprises choose deployment models that align with their infrastructure, governance, and compliance requirements. The platform has been recognized by Gartner as operating within the emerging AI-native development market.
The strategy behind the deal
David DeSanto, chief executive officer of Anaconda, said enterprise customers want to accelerate AI software development without sacrificing governance or compliance. "Kilo strengthens the company's ability to support developers from the moment they begin building AI applications while maintaining a trusted foundation as those workloads move toward production," he said.
Sid Sijbrandij, co-founder of Kilo Code and executive chair of GitLab, said the two companies bring complementary strengths. Kilo built a large developer community around model flexibility and open-source engineering, while Anaconda established enterprise trust through secure software distribution and development environments.
What changes for current users
Initially, Kilo's existing products, subscription plans, and customer support will remain unchanged. Anaconda plans to connect Kilo's development environment with its platform for managing Python packages, AI models, and development environments over time. Scott Breitenother, chief executive officer and co-founder of Kilo Code, said joining Anaconda enables the company to build on a platform already trusted by large enterprises while continuing to serve its developer community.
Deeper integration with the Anaconda Platform is part of the product roadmap but not yet available. The transaction also expands Anaconda's AI workspaces strategy by embedding agentic engineering directly into the integrated development environments developers already use.
Why this matters for IT and Development
For IT and development professionals, the acquisition consolidates a AI for IT & Development workflow that spans from code creation to governed deployment. Anaconda's platform already serves 52 million users and 95% of Fortune 500 companies, primarily for Python and data science. With Kilo's agentic engineering tools, those same organizations can now bring model-agnostic AI application development under a single enterprise umbrella, reducing the friction between experimentation and production while maintaining control over infrastructure and compliance.