AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.
A code generator for array-based code on CPUs and GPUs
SuperSonic, a new open-source framework to allow compiler developers to integrate RL into compilers easily, regardless of their RL expertise.
AlgoTune is a NeurIPS 2025 benchmark made up of 154 math, physics, and computer science problems. The goal is write code that solves each problem, and is faster than existing implementations.
A Knowledge-grounded framework for Autonomous ML/AI Program Synthesis and Optimization
Production-Grade Autoresearch. Ideal for GPU kernels, ML model development, feature engineering, prompt engineering, and other optimizable code.
Autonomous multi-agent framework to optimize scientific software
AI code generation and improvement
Agent-powered iterative optimization: put an AI agent in a verified improvement loop.
The Intelligent Code Refactoring Transformer for Python
Open-source evolutionary coding agent: LLMs discover and optimize algorithms through iterative evolution. Compounding memory, adaptive model selection, multi-language.
Scan any codebase for O(n²) hotspots, N+1 queries, and complexity issues — works with 13+ AI coding agents
A practical showcase of AI-assisted coding using PStruc and ChatGPT, highlighting iterative development and project optimization across three versions with detailed documentation of changes.
Autonomous pipeline that finds energy and CO₂ hotspots in any codebase and ships efficiency fixes proven by embedded statistical A/B testing, correctness gates, and integration tests reverse-engineered from the real system.
Compiler Design Experiments
A compiler for a simple language
This is a pure compiler based language developed using Python.
CodeOpt: A framework for optimizing code performance using Two-Stage Sampling, Few-Shot Learning, and Iterative Self-Reflection with support for Genetic Algorithm Inspired Chain-of-Thought (GA-COT).
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