AI tools every
developer should use
Modern developers do more than write code. They plan features, refactor large codebases,
debug faster, generate tests, review pull requests, and automate terminal workflows
with AI tools built for real engineering work.
- + GitHub Copilot
- + Cursor
- + Claude Code
- + OpenAI Codex
- + JetBrains AI Assistant
- + Gemini CLI
How smart teams
build faster with
AI tools
Plan features
with AI
Generate and
refactor code
Debug issues and
write tests
Review, automate
and ship faster
Why developers use AI now
The strongest AI tools are no longer just autocomplete. They can understand large projects, search codebases, edit multiple files, run terminal commands, generate tests, explain unfamiliar code, and help with pull requests and releases. Used well, they reduce repetitive work and let developers spend more time on product thinking, system design, and shipping quality features.
Use the right AI
tool for the right
development task
AI tools worth
having in your
developer stack
GitHub Copilot
- Autocomplete and chat in the IDE
- Agent mode for autonomous coding tasks
- Strong fit for GitHub-based teams
- Helpful for coding and pull request workflows
Popular
Cursor
- AI-first editor for developers
- Edits multiple files and runs commands
- Great for fast feature work and prototyping
- Useful for solo devs and startup teams
Fast
Claude Code
- Terminal-first coding agent
- Reads codebases and edits files
- Runs commands and automates dev tasks
- Strong for debugging and implementation work
Agent
OpenAI Codex
- Coding agent for software development
- Useful for planning, refactors, reviews, and releases
- Available as app and CLI workflows
- Strong for end-to-end engineering tasks
New
JetBrains AI Assistant
- Great for JetBrains IDE users
- Useful for code generation and explanation
- Helpful for refactoring and test support
- Strong fit for enterprise teams
IDE
Gemini CLI
- Useful for terminal-based AI workflows
- Good for scripting and automation
- Nice secondary tool for CLI-heavy devs
- Works well in command-line workflows



