Goose can: • Conduct code migrations (Ember to React, Ruby to Kotlin) • Dive into unfamiliar codebases • Generate unit tests • Create API scaffolding • Remove feature flags • Increase code coverage And that's just the beginning of its capabilities...

Jack Dorsey just declared war on closed-source AI. It integrates with 4 major AI models: DeepSeek, OpenAI, Google, and Anthropic. It lets you build powerful AI tools while keeping your data completely private. Here's how this could transform the future of AI development:

First, some context: Block is the parent company of: • Square (point-of-sale services) • Cash App (mobile payments) • Tidal (music streaming) Dorsey teased Goose by posting "open source everything" on X.

The problem was simple: Building AI agents is too complex for most developers. You need expertise in machine learning, neural networks, and programming. This keeps many brilliant developers from innovating with AI. But Dorsey's team had a solution that would change everything:

Enter Goose: A free, open-source framework that simplifies the process of building AI agents. It works with any LLM as the intelligence on the backend. The goal? To democratize AI-powered systems for developers. Here's where it gets interesting:

Goose can integrate with various LLMs, including: • DeepSeek • OpenAI • Google • Anthropic You're not locked into one provider. This flexibility is revolutionary, but there's an even bigger advantage:

Unlike other AI platforms, Goose can be deployed: • On-premises • In virtual private clouds • Within your own infrastructure As Block's VP confirms: "We definitely do not have anything in the middle of Goose usage — no calls to our servers." This changes everything:

Think about what this means: Banks can build AI agents without exposing customer data. Healthcare providers can innovate while maintaining patient privacy. Government agencies can leverage AI while keeping data secure. But the real magic is in what Goose can do:

Jackie Brosamer, VP of data & AI platform engineering at Block, revealed something fascinating: Goose can work across different systems - integrating Google Drive with Slack, for example. One team member uses it to track 40 hours of meetings and figure out what they did last week.

The platform is designed to: • Search and navigate codebases • Read, write, and edit files • Install dependencies • Run tests • Refine outputs automatically All while maintaining data privacy and security. But here's the most powerful part:

Goose is released under the Apache 2.0 license. This means: • Anyone can use it • Everyone can audit the code • Innovation happens in public • The community drives development This approach has profound implications:

As Bradley Axen, AI tech lead at Block, explains: "We're not monetizing Goose directly — it's fully Apache licensed. Instead, we aim to develop products that work seamlessly with agents." The strategy behind this decision is brilliant:

Goose is designed to work with Anthropic's Model Context Protocol (MCP). This standardized suite of APIs means Goose can connect to: • Content repositories • Business applications • Development environments Making it infinitely extensible.

The implications are massive: We're about to see an explosion of AI innovation. Not just from big tech companies, but from developers everywhere. This democratization of AI could reshape the entire industry.

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