Discover the Best AI Programming Tools & Models
Find, compare, and choose the best AI programming tools and models for your workflow.
Make programming more efficient with cutting-edge AI technology.
Our platform provides in-depth analysis and real-world performance data to help you make informed decisions. Whether you're building a new application or optimizing an existing one, we have the resources you need to succeed. Explore our extensive library of tools and models to find the perfect fit for your project.
Latest Releases
Stay up-to-date with the newest AI tools and models released by the community
v0.app
Generative UI platform by Vercel to create full‑stack apps from prompts with agentic workflows and production deployment
Vim
Classic text editor known for modal editing and an extensible ecosystem; AI capabilities via plugins
Visual Studio Code
Open‑source AI code editor with rich debugging, Git, remote dev, and a vast marketplace
Visual Studio
Full‑featured Windows IDE with deep .NET and C++ tooling, GitHub Copilot and IntelliCode integration, testing, and profiling
Warp
Modern, AI-enhanced terminal with IDE-style editing, Blocks, agents, and team workflows
Windsurf
AI-first code editor by Codeium with repo-aware Cascade chat, fast autocomplete, multi-file edits, and model flexibility
Zed
Modern, ultra-fast editor with built-in collaboration and AI assistant; supports multi-platform and remote development
Lovable
AI app builder for full‑stack web apps with chat‑driven creation, live preview, and one‑click deploy
Browse by Category
Explore our comprehensive collection of AI tools and models organized by category
Featured Tools & Models
Discover the most popular and powerful AI tools and models trusted by developers worldwide
Gemini CLI
Open‑source terminal AI agent that brings Gemini into your shell with fast quotas, agentic workflows, and Code Assist integration
Kilo Code
Open‑source AI coding agent for VS Code and JetBrains with usage‑based model provider
Codex
One agent for everywhere you code—runs in terminal, IDE, and cloud to automate tasks, review PRs, and fix bugs with GPT-5-Codex.
Roo Code
Open-source VS Code agent with multi-agent modes, MCP tools, and cloud model provider
Snyk Code
Developer-first SAST that scans as you code with IDE plugins, PR checks, and actionable fixes across popular languages
Goose
Open‑source, on‑machine AI agent with MCP extensions, desktop app, and CLI for developer automation
Kiro
Agentic AI IDE with spec‑driven development, terminal agents, and MCP integrations
Cline
Autonomous coding agent for VS Code with MCP tools, terminal execution, and human‑in‑the‑loop diffs
Explore AI Tools
Discover powerful AI tools organized by category to enhance your development workflow
Kiro
Agentic AI IDE with spec‑driven development, terminal agents, and MCP integrations
Neovim
Modern Vim refactor and extension with an active plugin ecosystem; AI via plugins
Visual Studio
Full‑featured Windows IDE with deep .NET and C++ tooling, GitHub Copilot and IntelliCode integration, testing, and profiling
Antigravity
Agent-first IDE with autonomous multi-agent execution, artifact transparency, and browser automation powered by Gemini 3 Pro
Bolt
AI builder for websites, apps, and prototypes with prompt‑to‑project flow, live previews, and Bolt Cloud hosting
Replit
Cloud IDE and deployment platform with instant environments, collaboration, and agentic AI to build, test, and ship apps
Windsurf
AI-first code editor by Codeium with repo-aware Cascade chat, fast autocomplete, multi-file edits, and model flexibility
TRAE
AI-native development platform and IDE with SOLO mode and multi-model routing; focuses on context engineering and end-to-end delivery
Explore AI Models
Discover cutting-edge AI models organized by capability and use case
Learning Resources
In-depth guides, tutorials, and best practices to master AI development
AI Concepts
Understand the fundamentals of AI, ML, and Deep Learning
- Core AI concepts
- Neural networks
- Foundation knowledge
Tutorials
Step-by-step guides to build real-world AI applications
- RAG implementation
- Practical examples
- Code walkthroughs
Best Practices
Expert tips for prompt engineering and AI development
- Prompt engineering
- LLM optimization
- Production tips
Reviews
In-depth tool reviews and AI product comparisons
- Tool comparisons
- Feature analysis
- Expert opinions
Case Studies
Real-world AI implementation success stories
- Real implementations
- ROI analysis
- Lessons learned
Perspectives
Thought leadership and future trends in AI
- Industry insights
- Future predictions
- Expert opinions
FAQ
Quick answers about Codnaut’s data sources, update cadence, and how to use key features.