Daily Reading List – March 3, 2026 (#733)
A daily tech reading list covering AI agents, software engineering trends, secure coding, and new developer tools like Gemini models and MCP SDKs.
A daily tech reading list covering AI agents, software engineering trends, secure coding, and new developer tools like Gemini models and MCP SDKs.
A guide to systematically evaluating and testing AI agent skills, covering success criteria, building an evaluation harness, and improving skill performance.
A curated list of articles and blogs about AI agents, software engineering changes, API latency, and developer experience.
Explores using interactive explanations and animated visualizations to understand AI-generated code and reduce cognitive debt in software development.
A senior engineer contrasts disciplined, multi-agent AI workflows with basic AI-assisted coding, arguing that discipline is now the key differentiator in software development.
A skeptic's detailed journey using AI coding agents to port scikit-learn to Rust, showcasing the surprising capabilities of modern LLMs.
A skeptic's detailed journey using AI coding agents for complex projects, including porting scikit-learn to Rust, showcasing their surprising capabilities.
A daily tech reading list covering AI agents, cloud development, software engineering trends, and new tools like Gemini CLI and jQuery v4.
A developer details the process of building evaluation systems for two AI-powered developer tools to measure their real-world effectiveness.
Introduces Skill Eval, a TypeScript framework for testing and benchmarking AI coding agent skills to ensure reliability and correct behavior.
Explains the difference between an AI agent's inner loop (verifying work within a task) and outer loop (learning across tasks).
Explains how token limits and context windows cause AI coding agents to fail, and offers techniques to keep them stable during long tasks.
A daily tech reading list covering AI agents, platform engineering, API docs, AI UX, and cloud performance trends.
Guide to using multimodal function calling with Gemini 3 and the Interactions API to build AI agents that can process and analyze images.
Anthropic announces Claude Code's rapid growth, reaching $2.5B run-rate revenue and doubling weekly users in early 2026.
Anthropic announces Claude Code's rapid growth, reaching $2.5B run-rate revenue and doubling weekly active users in early 2026.
Author corrects terminology from 'overseer' to 'supervisor' for coding agents, acknowledging harmful historical connotations.
A curated list of tech articles covering AI agents, database choices, career growth, and software development best practices.
A technical deep dive into Entire's architecture, explaining how it uses git primitives and agent hooks to create a session-aware metadata layer.
Introduces GLM-5, a massive new open-source AI model, and discusses the emerging concept of 'Agentic Engineering' for software development with LLMs.