Claude Code Subagents: What They Do and When to Use Them
How Claude Code subagents work: the context problem they solve, built-in Explore and Plan agents, writing your own, and a decision framework for delegating.
43 articles
Browse guides
How Claude Code subagents work: the context problem they solve, built-in Explore and Plan agents, writing your own, and a decision framework for delegating.
OpenClaw 2.0 rebuilds the free, open-source personal AI agent: simple installation, a conversation-first app, shared multiplayer sessions — plus a security posture that still depends on the user flipping the switches.
MHS is Anthropic’s specification for connecting AI agents to physical equipment. Pilots ran a drug-discovery assay, unified a seven-program microscope stack, and pushed laser recovery from 58 to 99.3 percent success.
Salesforce put its CRM inside Claude: pipeline reviews, meeting prep, and record updates by conversation. What shipped, the economics, the security model, and the debate about what Salesforce is now.
Grok Bot hands work off across apps, files and websites instead of answering questions. What it costs and which plans qualify, the access boundary most write-ups miss (every Bot on an account shares one computer), how to run a first bounded task, and the orchestrator pattern behind the 10 to 20 agent setups.
ChatGPT Atlas combines web navigation with a page-aware assistant and agent mode. The benefit is less tab-switching; the trade-off is broader context access.
Comet brings Perplexity’s answer-and-citation workflow into the browser: page-aware answers, organized research, and assistant help — with permission trade-offs.
DeepSeek V4-Flash-0731 is an official, open-weight, MIT-licensed MoE model with a 1M-token context, tuned for agents and coding, at about $0.14 per million input tokens. Specs, benchmarks, and why open weights plus low prices pressure the closed labs.
A use-case comparison of Cursor and GitHub Copilot built from first-party documented capabilities: workflow shape, autonomous tasks, ecosystem fit, a three-task evaluation method, responsible pricing checks, and a decision table.
A comparison of prompt engineering and context engineering using first-party definitions: what each method covers, a differences table, when to start with each, a failure-driven decision framework, common risks, and how to evaluate either approach.