Features
Autonomous performance engineering agent (codeflash-agent)
Continuous optimization of every new pull request
Global codebase analysis for cross-file optimizations
Supports Python, JavaScript, TypeScript, and Java
Verifies correctness against existing and auto-generated tests
Sandboxed execution – code never used for training
Senior performance engineers audit every PR before merging
GPU benchmarking support for ML inference workloads
JIT compilation analysis for Python
IDE extension for inline optimization suggestions
Recursion-to-stack, deepcopy avoidance, caching insertion
Integration with Claude Code and Cursor
Claude Code plugin – optimizes code before commit
Automatic regression test generation
Detailed PR explanations with benchmark numbers and rationale
Autonomous vulnerability scanning and PR generation
PR review for quality, security, and best practices
Legacy COBOL to Java migration with testing
Incident triage and root cause analysis
Agent Canvas: manage multiple agents in one workspace
Cloud agents run even when your machine is off
Schedule recurring tasks via cron or event triggers
Trigger workflows from GitHub, Slack, PagerDuty
Model-agnostic: supports Claude Code, Codex, Gemini CLI, MiniMax M2.7
Isolated sandbox execution on VM or cloud
Fine-grained access control and budget guardrails
Audit trails for enterprise compliance
Self-hosted deployment in your VPC
Open-source SDK for custom agent development
In-chat model switching with saved LLM profiles
