Making the most of Claude Code
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Articles, tools, and workflows to level up how you work with Claude Code and AI agents.
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The difference between Claude Code feeling like a novelty and feeling like a genuine multiplier comes down to one thing: how well you set up the environment around it. Feedback loops, permissions, context — get those right and a single developer starts operating like a small team.
This collection pulls together some of the best thinking on that problem. Brian Lovin argues that agents are only as effective as their ability to verify their own work — so give them test suites, linters, and preview environments to check against. Steve Yegge introduces an orchestrator for running dozens of Claude Code instances in parallel. There are practical guides on the dangerously-skip-permissions flag, arguments for why you might not even need MCP when bash scripts do the job, and tools like Context7 that pipe up-to-date documentation directly into your agent context window.
The underlying thing here is that using Claude Code and getting real leverage from Claude Code are two very different things. The gap between them is mostly about the workflows and infrastructure you build around it
I hope this helps if you are in that phase of figuring out what works. Start with one or two ideas from this list — maybe set up a feedback loop or try Context7 for docs — and build from there. You do not need all of this at once.
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