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code 344

AI code tools assist with writing, testing, reviewing, and debugging software across a broad range of programming languages and environments. The 344 tools here include IDE integrations, web-based coding environments, specialized tools for data pipelines, and platforms for non-developers building internal apps.

Kimi K2 AI

assistants

Chat with your documents and data

6

Playrun

debugging

Build and monitor autonomous AI agents

6

AI Code Completion by DeepCode

assistants

AI code review and security scanning for applications

6

unpkg.ai

assistants

On-demand JavaScript modules via AI without signup

6

Berrry

assistants

Convert social posts into functional web apps

6

Supadev

assistants

AI coding assistant for faster development, debugging, and testing

6

Zudoku

docs

Sudoku puzzle generator and solver API with customizable difficulty levels

6

HealthKey

docs

Patient identification for clinical trials

6

The category is wide and includes tools that serve very different audiences. Experienced developers typically want tools that integrate into their existing editor and support their specific language stack well. Teams may prefer tools with collaboration features, shared context, and audit logging. Non-developers building internal tools are better served by visual or low-code platforms like Dynaboard AI. Bug-fixing tools like FixThisBug.de focus on a narrow but high-value task. Code review and quality tools like GitRoll and Relicx focus on testing and reliability rather than generation. When comparing tools, practical benchmarks on your own codebase outperform general capability claims. Also consider how the tool handles context: tools with larger context windows handle full-file and multi-file edits more reliably. Security considerations include whether your code leaves your environment and under what terms it may be used to train future models.