Codeflash

What it does

Codeflash is a code-performance optimization tool for developers and development teams. Its documentation covers Python, JavaScript, TypeScript, and Java projects. Developers can target a function, a whole codebase, or a workflow. Codeflash searches for implementation changes such as more efficient algorithms, reduced unnecessary computation, caching, and more efficient library methods, while aiming to preserve the project’s existing architecture.

The documented workflow uses a command-line tool: install and configure it for the project, run an optimization, then review proposed changes. Codeflash runs existing tests and generated regression tests, benchmarks candidate changes, and provides an explanation and performance information. A GitHub Actions option supports optimization on pull requests. Separately, the company describes an agent operating in a sandbox and performance engineers reviewing optimizations before delivery; its homepage invites teams to book a demo for this engagement.

The documentation is aimed at developers working in supported-language projects. The company describes SaaS, customer-cloud, and on-premises deployment options for its enterprise offering, but does not specify operating-system requirements or public pricing. Tests and benchmarks provide checks, not a substitute for reviewing proposed changes in the target project.

What it can do

• Optimize a selected function or an entire codebase
• Trace and optimize workflows
• Explore more efficient algorithms and reduce unnecessary computation
• Benchmark candidate changes
• Run existing and generated regression tests
• Propose optimizations for pull requests through GitHub Actions

Works with

• GitHub Actions
• Claude Code
• Cursor

Before you choose

• The documentation establishes support for Python, JavaScript, TypeScript, and Java; support for other languages is not established.
• Teams should review proposals in their project context; tests and benchmarks do not remove the need to assess changes.
• Public pricing and operating-system requirements are not stated in the vendor pages.

Listed under

• Coding
• Cloud cost reduction
• Code optimization
• Developers
• GitHub
• ML inference
• Performance

Get started

Use the language-specific setup guide. Managed engineering engagements have a separate sales route.

1. Choose a documented project language and install Codeflash using a listed package manager.
2. Configure project settings in pyproject.toml, package.json, or the Java configuration files.
3. Run Codeflash on a function, codebase, or workflow, then review the proposed changes, tests, and benchmarks.

No amount, billing basis, or plan details are documented in the vendor pages.

We couldn’t find published prices for Codeflash. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 1 Nov 2026. Each source supports part of the overview; availability and prices can change.

• Codeflash is an AI performance optimizer for your code - Codeflash Documentation ↗docs.codeflash.ai
• Codeflash - Always ship performant code ↗www.codeflash.ai
• Codeflash - Always ship performant code ↗www.codeflash.ai

Company website

codeflash.ai: product, pricing and policy pages

YC directory mirror

Batch and company name

Social accounts

Accounts the company links, and its posts on X

Human review

Checked by a person

knowledge_base

manual_review

Last checked 1 Nov 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.