Posts

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.

The first chapter of the Gemini for Go Developers series, focusing on the different models of the Gemini model family and the API surfaces to consume them.

Every major technological shift faces moralizing resistance before becoming the new canon. An essay on gatekeeping, domain language, and human intent.

An exploration of the subagent paradigm in Antigravity, from its evolution and capabilities to practical applications. We also share a ‘swarm coding’ skill to help you orchestrate specialized subagents for complex engineering tasks.

Explore the evolution of agentic coding. Update on the shift to planning systems, strategic agent skills, and orchestrating subagents for better outcomes.

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. We examine the standalone desktop application, the Go-based terminal CLI, and the programmatic Python SDK.

Are Agile transformations obsolete? Learn how traditional Agile practices map to agentic workflows and how to scale them across the enterprise.

Learn how to build a fully functional Match-3 game using agentic coding, the Gemini CLI, and Go. We explore plan mode and custom sub-agents.

A practical guide to modern code reviews. Learn where to invest your time and effort to consistently write quality software in the agentic world.

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

Unlock on-demand expertise for your AI agent. Learn how to use Agent Skills in Gemini CLI to build modular, scalable, and autonomous workflows.

Taming AI agents requires science, not just vibes. Discover how A/B testing and statistical rigor turn coding agents into a measurable engineering discipline.

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. Apply engineering basics to keep your code structured, safe, and built to last.

Learn how to make your AI agent completely offline. We walk through swapping the cloud model for a local Qwen 2.5 via Ollama, and building a local RAG knowledge base using SQLite and sqlite-rag to query Osquery schemas and packs.

Elevate your Google ADK agent with a custom, retro-style interface. This step-by-step guide shows you how to replace the standard Dev-UI using FastAPI and vanilla JavaScript, adding personality with a real-time streaming, AI-generated avatar.

Celebrating my first six months at Google! Reflecting on a whirlwind of 15 events across 5 countries, diving deep into the AI ecosystem, and achieving a major personal health milestone along the way.

This article is a guide to creating a diagnostic agent with the Agent Development Kit (ADK). It covers the development process and explains how to use Vertex AI RAG to improve the agent’s response quality.

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 Go.

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.’ It details the journey of turning a personal collection of prompts into a portable, AI-powered toolkit to automate and structure the creative process.

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.

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.