GitHub Copilot Individual plans are changing with tighter usage limits, paused signups, and new pricing tiers due to increased compute demands from agentic workflows.
Speculative analysis on the future of agentic AI in software development, focusing on economic sustainability and geopolitical implications.
Explains how Agent Skills can capture institutional knowledge for coding agents, ensuring consistent adherence to internal frameworks and practices.
A review of Harbor, a framework for evaluating and optimizing AI coding agents and models in container environments.
Armin Ronacher announces Mario Zechner joining Earendil, discussing software philosophy, AI, and building thoughtful tools.
An overview of coding agent components, including tools, memory, and repo context, and how they enhance LLM performance in practice.
An overview of coding agent components, including tools, memory, and repo context, to enhance LLM performance in software development.
Explores harness engineering concepts to build trust in AI-generated code from coding agents.
A workshop handout on using AI coding agents like Claude Code and OpenAI Codex for data analysis, visualization, and cleaning tasks.
A workshop handout on using AI coding agents like Claude Code and OpenAI Codex for data analysis, visualization, and cleaning tasks.
A speaker shares insights from a fireside chat on AI coding agents, discussing adoption stages, trust in AI output, and test-driven development with agents.
A speaker shares insights from a fireside chat on AI coding agents, stages of AI adoption, and trusting AI output in software development.
Explores how modern LLM coding agents adapt to new or private tools, challenging the 'Choose Boring Technology' assumption.
Explores how modern LLM coding agents adapt to new or private tools, challenging the 'Choose Boring Technology' assumption.
Explores the importance of manual testing by AI coding agents to complement automated tests, with practical patterns for Python, APIs, and web UIs.
Explores the importance of manual testing by AI coding agents to complement automated tests, with practical patterns for Python, APIs, and web UIs.
Explores the legal and ethical implications of AI coding agents creating "clean room" rewrites to relicense open-source software, using the chardet Python library case.
A guide to writing effective AGENTS.md files for AI coding agents, based on research data and best practices.
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.
