Until very recently, the shift to AI in our lives as devs has been gradual. Now, the creep is ready to become more of a rush.
Software developers who aren’t adopting now risk being left behind. 70% of organisations are looking to adopt, or have already done so — so we have to keep up.
Here are 7 of the very best AI tools for software engineers.
1. Sourcegraph Cody — Supercharge Your Code Writing
Cody AI, brought to you by Sourcegraph, is an AI assistant designed to dramatically speed up your coding process.
It uses machine learning to read, understand, and answer questions about your entire codebase, documentation, and code graph. They claim it’s a tool that can make you, and your team, ten times faster at creating software.
Some of the best features:
- Code navigation — just ask where something is, and it’ll find it for you.
- Translate language — got some Ruby, but need it in Go? No problem.
- Code smells — it can act as a pair programmer and spot everything from edge cases to bad variable names.
- Debugging — pass it a snippet and request a fix. It’ll do the rest.
Great for: Teams working with large and complex codebases. It significantly reduces the time spent understanding and navigating the code, allowing developers to focus on crafting code rather than decoding it.