
MCP Servers for Coding Agents: Claude Code and Codex
Add an MCP server to Claude Code and Codex, using GitHub's official server in read-only mode as the example, and decide what the agent may do.
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Add an MCP server to Claude Code and Codex, using GitHub's official server in read-only mode as the example, and decide what the agent may do.
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Check how accurate your invoice extraction really is, field by field, with a small answer key and a tested Python script that scores every field.
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The four document AI operations, what each returns, and when each is the right tool, walked through one synthetic two-page invoice.
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When to make a coding agent plan before it edits, how plan mode works in Claude Code and Codex, and how to cut a feature into small checkable tasks.
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Read an agent's change in the right order: tests, deletions, dependencies and config first. A review checklist for Claude Code and Codex.
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Write one SKILL.md that works in Claude Code, Codex and Cursor, and learn when a skill beats another line in CLAUDE.md or AGENTS.md.
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Subagents, worktrees, and parallel lanes in Claude Code and Codex: how to split work so files don't collide, and what to review.
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What agent engineer interviews are likely to test, read from live postings: agent design, testing, debugging and coding with AI tools, plus practice prompts.
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What agent, AI and ML engineers each own, and how to tell which job a posting really describes, read from live postings in September 2026.
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What an account executive owns at an AI company, read from seven live postings: pay, deal shape, a first year, and portfolio work you can build.
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The rounds an AI account executive loop tends to run, what AI postings add to each, and eight original prompts to practice out loud.
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What an AI engineer interview tends to test, from live postings: coding, designing a model-powered feature, testing and debugging it, with practice prompts.
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