#python #ai_coding #claude #claude_code #code_review #graphrag #incremental #knowledge_graph #llm #mcp #python #static_analysis #tree_sitter
code-review-graph is a free, local-first tool that builds a structural map of your code to stop AI assistants from re-reading your entire codebase, saving you significant money and time. By using Tree-sitter to parse your code into a graph and tracking changes incrementally, it identifies the exact "blast radius" of a change so your AI only reads the few files that actually matter. This reduces token usage by an average of 82x (up to 528x in best cases), cutting costs and making AI reviews feasible for massive projects like monorepos.
https://github.com/tirth8205/code-review-graph
code-review-graph is a free, local-first tool that builds a structural map of your code to stop AI assistants from re-reading your entire codebase, saving you significant money and time. By using Tree-sitter to parse your code into a graph and tracking changes incrementally, it identifies the exact "blast radius" of a change so your AI only reads the few files that actually matter. This reduces token usage by an average of 82x (up to 528x in best cases), cutting costs and making AI reviews feasible for massive projects like monorepos.
https://github.com/tirth8205/code-review-graph
GitHub
GitHub - tirth8205/code-review-graph: Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase…
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-rep...
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#python
LingBot-Map is an open-source AI model that instantly builds accurate 3D maps from regular video streams at 20 frames per second, handling over 10,000 frames without slowing down . It uses a special "Geometric Context Transformer" to fix camera drift and keep geometry stable as you move . You benefit by getting real-time 3D understanding for robots, autonomous vehicles, or AR apps using only a standard camera, eliminating the need for expensive depth sensors or slow offline processing .
https://github.com/Robbyant/lingbot-map
LingBot-Map is an open-source AI model that instantly builds accurate 3D maps from regular video streams at 20 frames per second, handling over 10,000 frames without slowing down . It uses a special "Geometric Context Transformer" to fix camera drift and keep geometry stable as you move . You benefit by getting real-time 3D understanding for robots, autonomous vehicles, or AR apps using only a standard camera, eliminating the need for expensive depth sensors or slow offline processing .
https://github.com/Robbyant/lingbot-map
GitHub
GitHub - Robbyant/lingbot-map: A feed-forward 3D foundation model for reconstructing scenes from streaming data
A feed-forward 3D foundation model for reconstructing scenes from streaming data - Robbyant/lingbot-map