Here’s a list of top AI tools for developers in 2024, categorized by use case:

1. Code Completion & Generation

  • GitHub Copilot (by OpenAI & GitHub): Autocompletes code in real time, supports most IDEs.
  • CodeWhisperer (by AWS): Code generation, especially for cloud apps on AWS.
  • Tabnine: AI code completion trained on open-source codebases.

2. Debugging & Code Review

  • DeepCode (now part of Snyk): Analyzes code for bugs and security issues using AI.
  • Codacy: Automates code reviews with quality and security checks.
  • Visual Studio IntelliCode: AI-enhanced suggestions based on best practices.

3. Documentation & Commenting

  • Swimm: Generates and maintains up-to-date code documentation.
  • Codeium: AI code completion + docstring generation.

4. Testing & QA

  • Diffblue Cover: Generates unit tests for Java code.
  • Testim: AI-driven end-to-end testing for web apps.

5. DevOps & Automation

  • Aqua Security: AI-driven cloud-native security automation.
  • Harness: Smart CI/CD platform with AI features for performance analysis and deployment verification.

6. Chat-based Programming Help

  • ChatGPT (Plus): Especially with GPT-4.5 for code explanations, debugging, and generation.
  • Cursor: AI-powered coding editor with built-in GPT-based assistant.

7. Low-code / No-code Platforms

  • Replit Ghostwriter: Great for beginners to prototype quickly.
  • Builder.ai: AI-assisted app development with minimal coding.

Would you like suggestions based on a specific programming language or type of development (e.g., web, mobile, data science)?