GitHub Copilot Alternatives

I find it code completion capability highly-effective because the platform drastically speeds up routine coding tasks like boilerplate code generation, standard function autocompletion and writing units tests. For administration operations, Amazon Q generates AWS CloudFormation and Terraform templates where it seamlessly creates a managed cluster, instantly translating that syntax between IaC languages.

Using the Gemini Code Assist proved to be a very efficient way to check, improve and develop new strengths on my coding abilities. It helped me to be more efficient in my tasks and bring more value to the company.

Kiro demonstrated a strong understanding of our project requirements from the start. It helped our team effectively leverage AI to generate code aligned with our internal standards, which improved consistency and reduced manual effort. Overall, the experience was smooth and productive, with clear value delivered in a relatively short time

Claude has been an excellent choice as our primary AI coding agent. The platform stands out for its advanced reasoning capabilities, strong task persistence, and a rapid feature release cadence. While token limits on the higher-end models and a few integration gaps create some friction, the overall experience has been highly positive and the platform has meaningfully improved our development workflows.

Cursor has completely changed how I approach my work. Honestly, I'm not sure I could keep up with my current projects without it. I've used it to build out a full Detection-as-Code framework and to get far more value out of our SIEM, particularly around SOAR and automation. The planning mode has been especially useful for breaking complex projects into clear, time-bound phases. It's helped me stay on track while also allowing Cursor to reason through and support genuinely complex tasks alongside me.

Windsurf is by far the best agentic AI powered IDE and helping the developer community to increase the productivity by multiple times.

Augment Code stands out for its fast and context aware coding suggestions. It integrates effortlessly with the development workflow and helps in writing code more effectively. Helps with understanding complex code base. Helps in code review. AI suggestions are relevant and save time during development and debugging.

Codex has been a strong productivity boost for well-scoped engineering tasks like refactors, test fixes, and codebase Q&A. We use it both in the cloud agent experience and locally through Codex CLI, and it works best when you give it a clear goal plus a way to verify results.