engineering.
69 writings found
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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.
Six Months of LLM Chaos: When Coding Agents Became Usable
November 2025 marked an inflection point in LLMs. Coding agents crossed a threshold from novelty to daily driver, while laptop-available models shattered expectations.
The Anthropic-xAI Deal: When Compute Capacity Comes With Political Baggage
Anthropic's partnership with xAI's Colossus data center raises serious questions about supply chain risk, environmental concerns, and corporate accountability in AI infrastructure.
The Anthropic-xAI Deal: When Compute Comes With Hidden Costs
Anthropic's partnership with SpaceX/xAI's Colossus data center raises serious questions about environmental responsibility and supply chain risk in AI.
The Colossus Problem: Why Anthropic's Data Center Deal Raises Red Flags
Anthropic partners with xAI for compute capacity, but the environmental and political baggage of Colossus datacenter poses real risks for developers.
The Anthropic-xAI Deal Exposes a Uncomfortable Truth About AI Infrastructure
Anthropic's Colossus deal reveals how compute constraints force AI companies into ethically questionable partnerships, and what it means for developers.
The Genie and the Tar Pit: Can AI Coding Assistants Build for the Future?
As AI coding tools evolve from assistants to autonomous agents, the fundamental question remains: can they build software that lasts, or just code that runs?
LLM 0.32a0: Rethinking Abstractions for Modern Language Models
Simon Willison's LLM library gets a major refactor to handle multi-modal inputs, streaming typed responses, and the messy reality of frontier models.
LLM 0.32a0: Why Your Prompt/Response Mental Model is Already Obsolete
Simon Willison's LLM library gets a major refactor to handle multi-modal inputs, streaming message parts, and the messy reality of modern AI models
LLM 0.32a0: When Your Abstraction Meets Reality's Complexity
Simon Willison's LLM library gets a major refactor to handle the messy, multi-modal world of modern AI models. Here's why abstractions always break.
DeepSeek V4: The Frontier Model That Costs Almost Nothing
DeepSeek drops V4 models that rival GPT and Gemini at a fraction of the cost. The efficiency gains are staggering, and they might run on my laptop.
Claude's System Prompt Evolution: What Opus 4.7 Tells Us About AI Behavior Design
Anthropic's latest system prompt reveals a shift toward proactive AI behavior. I dig into what these changes mean for developers building with Claude.
PyCon US 2026: Why This Matters for Python and AI Engineering
PyCon returns to California with new AI and security tracks. What this shift means for the Python community and the future of technical conferences.