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langgraph

2 posts with the tag “langgraph”

Introducing CodeBuddy: A Deep-Agent Coding Assistant for Your Editor

Introducing CodeBuddy, a deep-agent coding assistant. Any model, in your editor.
- 7 min read - 1400 words
Oyinlola Olasunkanmi Raymond
Oyinlola Olasunkanmi Raymond
Creator of CodeBuddy

Most AI coding tools autocomplete a line and stop. CodeBuddy is a deep agent: it plans the task, delegates isolated sub-jobs to eight specialist subagents, runs ~30 tools against your real files, verifies the result, and retries (failing over to another provider) when a step breaks. Open source, runs in your editor, uses your own keys. Here’s what that means and why we built it.

Building a Coding Agent with LangGraph Deep Agents

Building a coding agent with LangGraph Deep Agents: one createDeepAgent call, five seams (model, tools, backend, subagents, middleware) returning a compiled LangGraph graph.
- 12 min read - 2400 words
Oyinlola Olasunkanmi Raymond
Oyinlola Olasunkanmi Raymond
Creator of CodeBuddy

A single LLM loop can’t reliably run a multi-step coding task. CodeBuddy is a deep agent instead: one createDeepAgent call composed from five seams (model, tools, file system, subagents, middleware) returning a compiled LangGraph graph, with four layers of self-healing. This is the whole architecture from the inside, grounded in the real code and file paths.