danicat.dev

Mastering the creation of custom Agent Skills is the ultimate developer productivity boost.

Learn how to build autonomous agents in Go using the Go GenAI SDK, Genkit, and ADK through a practical Retro Game Appraiser example.

In Part 2 of Gemini for Go Developers, we explore Go’s agentic affinity, Antigravity surfaces, and how to configure a practical AI-native workflow in Go.

Learn about the different models of the Gemini family, their capabilities and how to consume them programmatically.

Every major technological shift faces moralizing resistance before becoming the new canon.

An exploration of the subagent paradigm in Antigravity, from its evolution and capabilities to practical applications.

In this codelab you are going to explore how to enhance your agent using A2UI to build dynamic interfaces beyond simple text and markdown.

Explore the evolution of agentic coding.

Learn to use agent hooks to incorporate engineering best practices into your agentic coding loops.

A guide to the Google Antigravity 2.0 ecosystem announced at Google I/O 2026.

Are Agile transformations obsolete?

Learn how to build a fully functional Match-3 game using agentic coding, the Gemini CLI, and Go.

In this codelab, you will build CloudCrush, a match 3 arcade game, using Gemini 3 and Antigravity CLI, our command line coding agent.

In this codelab you are going to learn how to create your own AI Executive Assistant using Agent Development Kit (ADK) and Gemini.

A practical guide to modern code reviews.

Learn how to use Gemini CLI’s built-in skill-creator to automatically generate, refine, and structure your own custom Agent Skills using practical examples.

Learn how to build GlowUp, a photo restoration tool using Genkit Go and Nano Banana Pro to restore old, damaged, or black-and-white photos.

Learn how to build a high-fidelity photo restoration tool using Go, Genkit, and Nano Banana Pro (Gemini 3 Pro Image) native 4K capabilities.

Learn how to extend the Gemini CLI with custom tools using the Model Context Protocol (MCP) in Go.

Unlock on-demand expertise for your AI agent.

Taming AI agents requires science, not just vibes.

Reflecting on a transformative 2025: from joining Google and mastering vibe coding to building my own AI tools and finding a new rhythm in life and engineering.

Get the speed of AI without the mess.

Learn how to make your AI agent completely offline.

Elevate your Google ADK agent with a custom, retro-style interface.

Celebrating my first six months at Google!

This article is a guide to creating a diagnostic agent with the Agent Development Kit (ADK).

Based on my keynote at Gophercon UK 2025, this article is an introduction to the Model Context Protocol (MCP), exploring its core concepts, architecture, and the building blocks — Tools, Prompts, and Resources — used to create AI-enabled applications with…

An exploration into why time seems to speed up as we age, using a simple mathematical model to uncover a surprising truth about our perception of life.

The story of Speedgrapher, a custom MCP server for ‘vibe writing.’

A step-by-step guide on how I built GoDoctor, an AI-powered Go development assistant, using the Model Context Protocol (MCP) and the Gemini CLI.

Learn how to customise the Gemini CLI to suit your coding style using GEMINI.md and custom system instructions.

A proposal for a modern developer workflow using AI tools and a simple prioritisation exercise.

A detailed account of my iterative process working with Jules, an AI coding assistant, to implement a new featured post section on my blog’s homepage.

How to design infrastructure using natural language on Google Cloud using Gemini Cloud Assist

This article explores the concepts of system instruction, session history and agent tools to create a smarter diagnostic assistant.

Senior DevRel Engineer at Google, ex-GDE, and builder of scalable Go systems and AI agents.

This article explores the communication model between the client code and the Gemini API using the Vertex AI SDK for Python

How to create a diagnostic agent that speaks natural language using Gemini and Vertex AI Agent Engine

A reflection on the future of the software engineering career.

The new autonomous coding agent that every developer needs to know.

An introduction to this blog’s purpose: sharing technical journeys in software development, cloud computing, and AI.