swe-agent
🤖 AI-powered software engineering multi-agent system with researcher and developer agents that automate code implementation through intelligent planning and execution. Built with LangGraph multi-agent workflows
Learn the purpose of is_valid_research_step in SWE-Agent's architect state. This flag controls research execution and prevents redundant exploration. Understand its role in optimizing agent workflows.
How SWE-Agent Handles Errors During the Implementation PhaseDiscover how SWE-Agent manages implementation errors. It gracefully handles missing files and uses try/except blocks for robust file operations, preventing workflow crashes.
How Developer Prompts Handle New File Creation vs Existing File Modifications in SWE-AgentDiscover how SWE-Agent developer prompts differentiate between creating new files and modifying existing ones using distinct templates for efficient code generation and modification.
Understanding the Write Tool for File Operations in SWE-AgentExplore SWE-Agent's write tool for safe file operations. Learn to create, overwrite, and inspect files using create_file, write_to_file, and get_files_structure utilities.
How Developer Prompts Generate Code Changes in SWE-Agent: The Complete Guide to create_diff_prompt and implement_diffLearn how SWE-Agent's developer prompts create_diff_prompt and implement_diff generate accurate code changes using a two step LLM extraction and application workflow.
How SWE-Agent Architect Prompts Work: From Research to Implementation PlansDiscover how SWE-Agent architect prompts transform LLM research into structured JSON implementation plans. Learn about conduct_research_plan_prompt and extract_implementation_plan.
How the Codemap Tool Analyzes Code Structure and Dependencies in SWE-AgentDiscover how the Codemap tool uses Tree-sitter for static analysis to map code structure and dependencies. SWE-Agent navigates codebases efficiently without execution.
Understanding implementation_research_scratchpad in SWE-Agent State ManagementDiscover the purpose of implementation_research_scratchpad in SWE-Agent state management. Learn how this message-history buffer preserves dialogue for context-aware planning and deterministic serialization.
How the Architect Agent Uses `research_next_step` for Hypothesis-Driven Exploration in SWE-AgentDiscover how the Architect Agent in SWE-Agent utilizes research_next_step for hypothesis-driven exploration, validating and executing research to gather implementation knowledge.
Why Is recursion_limit Set to 200 in the LangGraph Configuration?Discover why LangGraph's recursion_limit is 200. Enable deeper multi-step reasoning for SWE-Agent's research and coding loops safely preventing infinite execution.
How the Developer Agent Iterates Through Tasks and Generates Diffs Sequentially in SWE-AgentLearn how the SWE-Agent Developer agent iterates tasks sequentially. Discover its state-graph architecture, contextual research tools, and unified diff generation for code changes.
Understanding add_messages in LangGraph State Management: A Deep Dive into SWE-AgentLearn how add_messages in LangGraph state management automatically concatenates message lists instead of overwriting. Understand this key feature for SWE-Agent.
Have a question about this repo?
These articles cover the highlights, but your codebase questions are specific. Give your agent direct access to the source. Share this with your agent to get started:
curl -s "https://instagit.com/install.md" 
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