Posts tagged "genai"

Anthropic has shipped more meaningful product features in the last few weeks than most teams ship in a quarter. Projects, Dispatch, Channels, recurring tasks, new models: the pace is remarkable. My theory? They're dogfooding their own product to build the product. It's a little meta. It's a lot impressive.

My wife started making pour-over coffee. I started building her an app. What used to take weeks of Swift development now takes hours with AI-assisted coding. Here's the story of PourCraft, caffeine dependency, and the moment I realized the game has changed.

Using Claude Code and Opus 4.5 as thinking partners helped me rebuild confidence, clarity, and quality in a growing macOS codebase.

Andrej Karpathy put words to something many engineers are quietly feeling right now. We've been handed a powerful alien tool with no manual, and we're all learning how to use it in real time.

From generative AI as a tool to AI as a strategic partner. Reflections on 2025 and what excites me most about 2026.

🤖 Frontier Models, Small Language Models, and a New Middle Path The most strategic AI decision isn't choosing the right model — it's knowing when generic intelligence isn't enough. Over the past...

How my workflow evolved from autocomplete magic to spec driven development, and why trusting GenAI with more of my code has changed how I build software.

From AWS to GitHub to Podman, MCP servers are quietly becoming the new plug-in ecosystem for developers—and it’s changing how we work.

After building two open-source task managers to battle procrastination, I took it further — secure cloud sync, end-to-end encryption, and now an MCP server that connects your tasks to AI.

The resistance to GenAI tools isn't simply about developers being stubborn or afraid of change—it's a rational response to tools that haven't yet proven their value universally, in an environment where people are already managing substantial change fatigue, and where the quality bar for production code remains high.

Exploring the evolution from AI to AI Agents with a hands-on FinOps example. Learn how AWS Strands enables autonomous agents to monitor cloud spend, notify on overages, and free humans to focus on higher-judgment work.

A humorous confession about subscribing to nine different AI development tools in my quest to find the best tool(s).

Just like Cloud before, today's AI transformation demands companies rebuild their operating models, leadership structures, and developer experience instead of retrofitting AI onto existing workflows.

AI-powered interfaces are evolving beyond traditional graphical UIs toward intent-based interactions, where users describe desired outcomes rather than navigating through menus and clicks.

AI represents the third major tech revolution (after the internet and mobile), and like previous waves of creative destruction, it will eliminate some jobs while creating entirely new careers and opportunities for those who adapt quickly.

A hands-on look at how AWS Kiro transforms AI-assisted development from chaotic vibes into structured, spec-driven engineering.

Successfully running OpenAI's 20-billion-parameter open-weight model (gpt-oss-20b) locally on a Mac M4 Pro, highlighting the potential of offline AI that rivals cloud-based models without internet dependency or costs.