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Moatless Tools
Overview :
Moatless Tools is an open-source project where the author explores ideas about using large language models (LLMs) to edit existing large codebases. The project believes that building good tools for inserting the correct context into prompts and handling responses is more crucial than relying on agent-based reasoning solutions.
Target Users :
Targets developers and programming enthusiasts, particularly those interested in using artificial intelligence to assist with programming tasks. Moatless Tools can significantly enhance their productivity by offering automated code editing and search functionalities.
Use Cases
Developers use Moatless Tools to quickly locate and modify code in large projects.
Programming enthusiasts leverage Moatless Tools to learn how to utilize AI technology for improved programming efficiency.
Educational institutions employ Moatless Tools as a teaching tool to instruct students on utilizing AI for programming.
Features
Validate ideas using SWE-bench benchmarks
Implement code search and editing using an agent-based finite state machine
Utilize vector indexing for semantic search based on llama index
Code identification, breaking requests into smaller code changes
Code editing, using search/replace blocks to minimize the risk of erroneous changes
Support Google Colab execution for convenient testing and usage
How to Use
Access the Moatless Tools GitHub repository and clone the repository.
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Read the README.md file to understand the project background and usage instructions.
Run Moatless Tools locally or on Google Colab following the provided guidelines.
Use the Moatless Tools search functionality to locate the code segment requiring editing.
Utilize the editing features to make changes to the code and review the AI-provided replacement suggestions.
Run the SWE-bench benchmarks to evaluate the effectiveness of Moatless Tools.
Adjust Moatless Tools' configuration and usage based on feedback received.
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