AI Coding Tools for Developers and App Builders
Compare 85 coding assistants to write, test, fix, and ship code faster
Code assistants are moving beyond filling in the next line. Some can run repeatable jobs, pause for your review, and move information through desktop apps that don't have an API. Others can check live software for problems, test a fix, and prepare a release. Non-engineers can describe a change and hand a tested draft to an engineer. Bigger coding jobs can now run faster or cost less. They're useful, but you'll still want to check the code before it ships.
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85 Best Code Assistant AI Tools
Ranked by editor reviews, ratings, and user saves.
Refraction AI
Focused AI help for routine coding tasks inside your editor.
Falcon LLM
Open models for developers building Arabic AI on their own infrastructure.
LLMStack
Build, deploy AI apps easily; no-code, multi-model integration.
KaneAI
Turn plain-language app requirements into reviewable automated tests.
Dosu
Keeps coding-agent context aligned with changing repositories and engineering decisions.
Kusho
Revolutionizes API testing with AI-generated suites, enhancing developer efficiency and software reliability.
Sourcegraph
Revolutionize code management with AI-assisted searches and insights.
Ninja AI
Delegate multi-step projects to AI agents working on their own cloud computers.
Emergent
Build scalable apps with AI-driven tools.
Cades
AI-powered app builder transforms ideas into functional applications.
Temporal Technologies
Ensures resilient, fault-tolerant applications with durable execution.
Software AG
Mainframe teams connect legacy data to modern systems without replacing core applications.