Introducing Evolutionary Code Intelligence
Evolution is nature's algorithm. Now it optimizes your code automatically discovering faster, safer, more efficient solutions.
The Science
Inspired by AlphaEvolve, autonomous agents that combine LLMs with evolutionary algorithms.
Multiple islands evolve independently, periodically exchanging best solutions to avoid local optima.
Fast models (Gemini Flash) for throughput + powerful models (GPT-4, Claude) for breakthrough mutations.
Evolves entire codebases, not just functions enabling cross cutting optimizations humans miss.
Balances correctness, performance, memory, and code quality in a single evolutionary pressure.
Builds rich context from high performing programs
Generates diverse code modifications
Tests on correctness, speed, and quality
Stores best solutions for next iteration
How It Works
From pull request to optimized deployment, code evolution happens automatically.
CI detects changed methods and marks them for evolution.
Create 10ā50 evolved variants using LLM + mutation.
Rank by correctness, performance, memory, and quality.
Best variant auto selected. You review top candidates.
Proven Results
Actual performance improvements discovered by EvolveQ in enterprise codebases.
Hotspot Optimization
DynamicHierarchy
.getInstanceIdMutations()
Algorithm Discovery
Matrix Multiplication
Rank-48 Algorithm
Capabilities
Code optimization that integrates seamlessly into your workflow.
Plugs directly into your existing pipelines. Evolution triggers automatically on every PR.
Balances CPU time, memory allocation, DB load, and code quality simultaneously.
Every variant passes your test suite before ranking. Semantic equivalence guaranteed.
Java, Apex, Python today. Rust, Go, and TypeScript coming soon. One platform for your stack.
JMH benchmarks and production metrics feed back into the evolution loop.
VS Code extension and Slack integration. Review suggestions where you already work.
Enterprise Value
Every optimization translates directly to infrastructure savings.
16Ć faster methods mean lower CPU, reduced DB load, and less GC pressure. 10% reduction on Tier-0 services yields millions in annual savings.
Instead of waiting years for engineers to fix hotspots, EvolveQ evolves them continuously. Debt never accumulates.
Engineers focus on features, knowing optimization happens automatically. No more performance tuning sprints.
Join enterprises achieving order of magnitude performance gains with autonomous code evolution.