Developer / DevOps: the best AI tools
Code, debug and understand faster.
For developers, AI has gone from gimmick to daily driver: in-editor autocomplete, test generation, explaining legacy code, multi-file refactors. Used well, it saves hours — as long as you always review.
Our combo: an autocomplete copilot, an agent-editor for big changes, and a conversational assistant to reason and debug.
Recommended AI tools
GitHub Copilot
The code copilot built into your editor.
Cursor
The AI code editor that understands your whole project.
Claude
The assistant that shines at long-form writing and reasoning.
ChatGPT
The all-round AI assistant that started the wave.
Devin (Cognition)
Cognition's autonomous AI software engineer.
Runpod
NewRent cloud GPUs by the second to train and run your AI models.
Tabnine
The privacy-first AI code assistant you can self-host.
Replit
Code, host and deploy from the browser, with an AI agent.
Netlify
NewDeploy and host web sites and apps, now with AI in the loop.
Dify
NewThe open-source platform to build LLM apps and agents.
More tools for this job
Groq
The fastest AI inference, at an unbeatable price.
OpenRouter
A single API key for hundreds of AI models.
Cohere
Generative AI built for enterprise and RAG.
v0
Generate polished React/Tailwind UIs from a text prompt.
Bolt.new
Describe a web app, Bolt builds and runs it in the browser.
Lovable
Build a full application by chatting, without coding.
Codex
OpenAI's software-engineering agent.
Aider
The open-source AI pair programmer, in your terminal.
Qodo (ex-CodiumAI)
Code-integrity AI: meaningful tests and PR review.
Base44
'Vibe coding': describe an app, it gets built and deployed.
Sourcegraph Cody
The enterprise code assistant that understands the whole repo.
Emergent
NewDescribe an app, and AI designs, codes and deploys it.
n8n
Open-source, self-hostable automation, with a dash of AI.
Zapier
Connect your apps and automate without code.
Make
Visual, powerful automation for complex scenarios.
Lindy
Build 'AI employees' that automate your workflows.
Concrete use cases
As a Developer / DevOps, here's how to get the most out of these tools day to day:
- GitHub Copilot — complete code and write tests without leaving the editor
- Cursor — request a change across a whole project and review the diff
- Claude — make sense of legacy code and plan a refactor