Below you will find pages that utilize the taxonomy term “Coding”
Postslearn more about the pitfalls
Top AI Coding Pitfalls to Avoid
AI-powered coding assistants have become increasingly popular, promising to boost developer productivity and streamline the coding process. Tools like GitHub Copilot and Cursor offer impressive capabilities, generating code snippets, suggesting completions, and even creating entire functions based on prompts. However, alongside these benefits come potential pitfalls that developers need to be aware of, as highlighted in recent discussions on the Cursor forum.
The Allure of AI Assistance:
The appeal of AI coding assistants is undeniable. They can:
Postsllms for codegen
Which LLM should you use for code generation?
Forget tedious hours spent debugging and wrestling with syntax errors. The world of software development is being revolutionized by AI code generation models, capable of writing functional code in multiple programming languages.
But with so many options emerging, which models are leading the charge? Let’s explore some of the most powerful contenders:
1. Codex (OpenAI):
Powerhouse Behind GitHub Copilot: Codex, the engine behind GitHub Copilot, is a descendant of GPT-3, specifically trained on a massive dataset of code.