During our previous livestream, Aaron Goldsmith, Infrastructure Operations Engineer at Cash App, showed a team of goose AI agents collaborating in real time to create a website. Our community loved it so much, Cliff Hall was inspired to iterate on that idea and create a gooseTeam MCP server.

It seems like yesterday when we all were wowed by generative AI and specifically the chat interfaces that made interacting with large language models (LLMs) accessible to everyday people.

As amazing as this was, it was only the beginning. The next wave of AI is agentic, meaning AI systems that don't just respond to prompts but take actions, make decisions, and interact with external systems. This is accomplished via AI agents.

We are thrilled to announce codename goose, your on-machine, open source AI agent built to automate your tasks.

Powered by your choice of large language models (LLMs), a user-friendly desktop interface and CLI, and extensions that integrate with your existing tools and applications, goose is designed to enhance your productivity and workflow.

Running into Continuous Integration (CI) failures in pull requests can be quite frustrating but they happen very often. In this post, we leverage the GitHub CLI (gh) using goose to simplify your CI debugging process, fetch detailed information about failed CI runs and annotations directly from GitHub, and even apply fixes directly.

Open standards are a critical ingredient for interoperable systems. They have enabled most of the technologies that we all rely on. The ability to connect to the internet no matter where we are relies on open standards such as Wi-Fi, TCP/IP and DNS. When you receive an email in your Gmail account from an Outlook sender, it's the use of open standards like SMTP, IMAP, and POP3 that makes this seamless. One of the most transformative technologies of our lifetime - the internet - enables anyone to have their web page accessible to the entire world thanks to the HTTP and HTML standards.

We're in the early days of a new era in tech, one where companies are innovating and building practical AI solutions for the masses. To ensure the longevity of this technology, open standards will be essential in guiding the development of AI tools so that the diverse systems built by various companies can work together seamlessly.

We are excited to share a preview of the new updates coming to goose with goose v1.0 Beta!

This major update comes with a bunch of new features and improvements that make goose more powerful and user-friendly. Here are some of the key highlights.

I'm a developer at heart, so when I'm working on a personal project, the hardest part isn't writing code—it's making design decisions. I recently built a calendar user interface. I wanted to enhance its visual appeal, so I researched UI design trends like "glassmorphism" and "claymorphism."

However, I didn't want to spend hours implementing the CSS for each design trend, so I developed a faster approach: screenshot-driven development. I used an open source developer agent called goose to transform my user interfaces quickly.