A daily roundup of top links in tech, covering .NET, AI, web development, Windows, and more for August 3, 2026.
EvoCode-Bench is a multi-turn coding benchmark that tests AI agents on evolving tasks across 227 rounds, evaluating persistence and adaptability.
Explains why judging AI coding agents requires knowing the task's value, not just the cost.
Guide on securely integrating coding agents into CI/CD pipelines with sandboxing, read-only access, and human approval stages.
A fireside chat with Anthropic's Claude Code team discussing coding agents, tool design, and their internal development practices.
Explores how cheap coding agents make reverse-engineering home devices more worthwhile, reducing effort and maintenance costs.
Explores how coding agents reduce the cost of reverse-engineering home devices, making automation more feasible.
Simon Willison explores a GitHub code-frequency chart for Datasette, showing coding agents' impact on his output.
Simon Willison explores GitHub code-frequency charts to visualize the impact of coding agents and AI models on his Datasette project.
Guide on sandboxing coding agents by using a separate user account to improve security and prevent damage from rogue AI.
Explores harness engineering in AI, focusing on recursive self-improvement and design patterns for deployment systems.
Analysis of iPadOS limitations for AI coding agents compared to Mac, focusing on sandboxing and filesystem issues.
Tutorial on setting up a local coding agent using open-weight LLMs and open-source tools as an alternative to Claude Code and Codex.
Testing local open-weight LLMs like Qwen-Code and Codex in coding harnesses, comparing token use and task success.
Testing local open-weight LLMs like Qwen-Code and Codex in coding harnesses, comparing token efficiency and performance.
Exploration of coding agent loops beyond simple prompts, discussing harness-level loops and challenges with AI-generated code quality.
Analysis of DevRel evolution from 2020 to 2026, focusing on thematic shifts, product-centric advocacy, and the impact of coding agents.
Deep dive into Claude Code hooks: 27 events analyzed, practical usage tips for PreToolUse, PostToolUse, and more.
Explores how coding agents change software library documentation, focusing on making libraries agent-friendly rather than human-friendly.
Explores how AI coding agents shift engineering focus from writing code to code review, making review the most leveraged skill in software.
