…2 Can people without formal coding experience successfully direct an agent through complex technical work? And what will rapid adoption and improvement of these tools mean for knowledge work broadly? While we…
…The slash commands are one of the most under-used features that Claude Code ships with and can substantially improve workflow efficiency. Slash commands aren’t Easter eggs; they are useful built…
…If your server rack is starting to feel like a burden instead of a playground, it might be time to invite an AI agent into your home lab. Of course, Claude is…
…When using AI coding assistants or agents, the context is additional data sent along with the user's prompts, such as existing code or background instructions. Context improves the accuracy of the…
The engineering practices Claude Code and Codex use to improve AI agents
Multi Agent Continuous Context Harness - MACCHA solves the problem that every AI coding session starts from zero. It combines a file-based 7-tier context architecture with a working memory engine (Memanto) that features …
I have been interested in long-horizon coding tasks for a while, especially with benchmarks like FrontierSWE, where even the best coding agents like Codex and Claude Code struggle to complete tasks.These agents come with…
Data is “the new oil” for AI.What if you could “plug in” to an oil well, and get royalties forever whenever that well’s oil was used?Right now, the people who build those datasets get paid once, if at all. There's no rec…
Claw-Coder is an AI agent that runs locally on your laptop and has access to powerful tools instead of configuring claude or codex to use a local model just use claw-coder. Why was claw-coder created? Answer: To solve th…
…Analysis depth and efficiency updates copilot Jun.25 Improvement Enterprise-managed settings now support strictKnownMarketplaces in VS Code and GitHub Copilot CLI client apps copilot enterprise management tools Jun.25 Improvement GitHub…
…Most recently, Roose tells me, he created a team of Claude agents to help edit his book, led by a “Master Editor” agent. Other sub-agents are in charge of things like…
…Footnotes Related content Agentic coding and persistent returns to expertise Paving the way for agents in biology Measuring LLMs’ impact on N-day exploits In cybersecurity, a large fraction of real-world…
…perfectly good user interfaces that don't need improving, Anthropic is attempting something both less flashy and potentially more fruitful: finding a practical, agentic AI-powered application for everyday business owners looking…
…We had a lot of coding agents with IDEs, and a few full-fledged agentic IDEs showing up too, but nothing that quite matched the experience of a proper terminal-based agent…
…When it comes to newer models with agentic tools, though, Anthropic found that RLHF post-training did little to improve performance on misalignment evaluations that measure how “HHH” a model is in…
