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Top 233 AI Code Generation Software SaaS Companies in May 2026

As of May 2026, there are 233 SaaS companies in AI Code Generation Software. They have combined revenues of $6.5B and employ 10.1K people. They have raised $28.7B and serve 1.3M customers combined.

AI Code Generation Software refers to tools that utilize artificial intelligence algorithms to automate the process of writing code. These tools are designed to assist developers by generating code snippets, functions, and even entire applications based on input requirements. Their primary use cases include enhancing productivity, reducing repetitive coding tasks, and improving code quality through AI-driven suggestions. Typical features of AI Code Generation Software include natural language processing for understanding user input, integration with code editing environments, and the ability to learn from existing codebases. Common buyer personas for these tools typically include software developers, DevOps engineers, and technical project managers, who are looking to streamline their development processes and accelerate delivery timelines.

Companies
233
Revenue
$6.5B
Funding
$28.7B
Employees
10.1K

Filters

Sorting: Highest -> Lowest

Filters

Top AI Code Generation Software Companies

Showing 10 of 131 companies ranked by annual revenue.

1
Qodo (formerly Codium)

Tel Aviv, Israel

Qodo is an AI-powered code integrity platform that assists developers throughout the software development lifecycle. It offers tools for code generation, testing, reviewing, and documentation, with a focus on ensuring code quality and reliability in AI-assisted development13.

Revenue
$1M
Customers
-
Year founded
2022
Funding
-
Team size
50
Growth
-
2
Sweep

, United States

AI-powered Python junior developer for software teams

Revenue
$1M
Customers
-
Year founded
2023
Funding
-
Team size
5
Growth
-
3
Greptile

San Francisco, California, United States

AI expert on your codebase that you can query via an API

Revenue
$1M
Customers
-
Year founded
2023
Funding
-
Team size
6
Growth
-
4
Morph

San Francisco, California, United States

MorphLLM.com is the high-speed “Fast Apply” engine that merges LLM-generated edits into code and files at over 4,500 tokens per second with enterprise‑level accuracy and reliability Faster, more reliable coding agents. Powering hundreds of startups.

Revenue
$1M
Customers
-
Year founded
2025
Funding
-
Team size
-
Growth
-
5
SaaS Forge

Berlin, Germany

Uncover your next brilliant idea. Our AI-powered tool quickly provides personalized micro SaaS ideas based on your interests. Ideal for developers and business owners that want to create rapidly and effectively.

Revenue
$1M
Customers
-
Year founded
-
Funding
-
Team size
-
Growth
-
6
EasyCode

Toronto, Canada

ChatGPT that understands your codebase.

Revenue
$1M
Customers
-
Year founded
2023
Funding
-
Team size
5
Growth
-
7
TabbyML

San Francisco, California, United States

Tabby is an open-source, self-hosted AI coding assistant that provides developers with a powerful alternative to GitHub Copilot. It allows teams to set up their own language model-powered code completion server without relying on external databases or cloud services. Tabby is designed for ease of integration with existing development environments through an OpenAPI interface and supports consumer-grade GPUs for enhanced performance. Its features include intelligent code suggestions, auto-completion, and natural language interactions, significantly boosting productivity for software development teams.

Revenue
$990K
Customers
-
Year founded
2023
Funding
-
Team size
9
Growth
-
8
Axal

San Francisco, California, United States

The AI Software Architect

Revenue
$990K
Customers
-
Year founded
2023
Funding
-
Team size
9
Growth
-
9
Pythagora (GPT Pilot)

, United States

OSS dev tool that builds entire apps from scratch by talking to you

Revenue
$900K
Customers
-
Year founded
2023
Funding
-
Team size
6
Growth
-
10
devlo

San Francisco, California, United States

Your AI teammate for boosting development productivity

Revenue
$880K
Customers
-
Year founded
2024
Funding
-
Team size
8
Growth
-

Inclusion Criteria

- The software must generate code based on user input or specifications. - It should support multiple programming languages or be adaptable to various coding environments. - Must integrate with common development tools like IDEs (Integrated Development Environments). - Should provide features for code optimization and error correction. - Not just a code editor; must include AI-driven suggestions and automation. - Must be suitable for use by both novice and experienced developers.