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317 writings found
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Why Google's AI Still Can't Spell 'Strawberry' Right
The search giant's latest AI errors expose a fundamental flaw in how LLMs process text
Sensors That Keep AI-Generated Codebase Maintainable
How I used linters, coupling metrics, and mutation testing to help AI agents self-correct and maintain code quality over time
The Great AI Escape: Why I'm Watching DuckDuckGo's Comeback Story
Google's AI overhaul is pushing users toward DuckDuckGo. Here's what this means for developers and search's future.
What Pope Leo XIV's AI Encyclical Gets Right About the Mess We're In
A developer's take on the Vatican’s new AI document and what it means for those building AI systems
The Vatican's AI Encyclical Is the Most Important Document Tech Leaders Will Read This Year
Pope Leo XIV just dropped a masterclass on AI ethics that every developer needs to absorb
Vibe Coding: When We Stopped Reading Code and Started Trusting the Vibe
A deep dive into Andrej Karpathy's vibe coding concept - what it means, why it matters, and why forgetting code exists might be both its greatest strength and deepest flaw for developers.
The 23-Minute Window: When Security Advice Meets Reality
Google says security can’t be bolted on later. Then why are developers getting five-figure bills from API keys that slipped through the cracks?
Datasette Agent Is the Bridge Between LLMs and Your Data
A technical look at how Datasette Agent brings AI querying to SQLite databases
The Hidden Complexity Behind Meta's Friend Bubbles
A deeper look at why seemingly simple features demand the deepest engineering work
Datasette Agent: When Three Years of Tooling Finally Converge
How the intersection of LLM Python libraries and Datasette creates a new paradigm for conversational data exploration.
Datasette Agent: Where Three Years of LLM Development Finally Clicked
The convergence of conversational AI and data querying opens new possibilities for personal data assistants and extensible tooling.
Datasette Agent: When Data Tools Meet Conversational AI
Three years of LLM work finally converges with Datasette. What this means for building AI systems around your data.
ERA: How Google's AI is Reshaping Empirical Science and What It Means for Us
Google's Empirical Research Assistance uses AI to automate scientific coding. Here's what ERA really changes about how we do research and build intelligent systems.
Trump Delays AI Pre-Release Evaluation Order: What Developers Actually Need to Know
Trump pushed back on AI model evaluation requirements. Here's what this means for developers, security, and the future of AI governance in the US.
When Simple Features Hide Complex Engineering: Lessons from Meta's Friend Bubbles
Exploring the hidden complexity behind Meta's Friend Bubbles feature and what it reveals about modern social platform engineering.