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Tool Calling

Explore our latest articles and insights about Tool Calling.

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10 posts in total

AI Engineering

Custom tools for coding agents: beyond the built-ins

How to design custom tools for coding agents that are not read, edit, or bash. The naming rules, the schema patterns, and the 3 custom tools that pay off.

AI AgentsAI Engineering+3
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12 min
AI Engineering

ripgrep for coding agents: fast code search at scale

Why ripgrep is the right code search tool for coding agents. The speed, the flags, and the wrapper that turns rg into a safe agent tool.

AI AgentsAI Engineering+3
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10 min
AI Engineering

Edit tool design: how coding agents modify files safely

How to design an edit tool a coding agent can use without wrecking files. The string-match rule, the dry-run pattern, and the 50-line safe edit function.

AI AgentsAI Engineering+3
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11 min
AI Engineering

Designing modular tool integrations for coding agents

How to structure tool integrations so an agent stays clean as it grows. The registry pattern, schema-first design, and the 80-line dispatcher that scales.

AI AgentsAI Engineering+3
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12 min
AI Engineering

bash tools for coding agents: safe shell execution

How coding agents run shell commands safely. The bash tool design, the denylist trap, and the sandbox that keeps rm -rf away from your home directory.

AI AgentsAI Engineering+3
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11 min
LLM Engineering

Agentic RAG with LangGraph: planning, rewriting, tool use

How agentic RAG uses LangGraph to plan, rewrite queries, and call tools. The graph, the state, and the nodes that turn single-pass RAG into reasoning.

RAGAI Agents+3
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12 min
AI Engineering

Build a coding agent with Claude: a step-by-step guide

How to build a coding agent with Claude in 100 lines of Python. Tool use, file editing, bash, and the loop that ties them together. No frameworks.

AI AgentsAI Engineering+3
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12 min
AI Engineering

The event loop inside a coding agent: how it thinks

How a coding agent loop actually works. The minimal while loop that turns a chatbot into Claude Code, and the 4 states every agent cycles through.

AI AgentsAI Engineering+3
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12 min
AI Engineering

Giving your LLM hands: a deep dive on tool calling

How giving works in production. Learn how to build agents that can interact with the real world using tool calling. Step-by-step guide to implementing func

AI AgentsTool Calling+3
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8 min
AI Engineering

Structured output: making LLMs application-ready

Learn how to get reliable, structured outputs from LLMs using JSON mode and Pydantic tool calling. Transform LLMs from text generators into application-...

LLMPydantic+1
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8 min

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