A guide on using large language models (LLMs) for programming tasks, including examples, strategies, and useful tips for effectively using AI assistants like ChatGPT and Claude.
The article explores the concept of writing code that is easy to read by leveraging brain spans: memory span, attention span, and structure span. It suggests guidelines for writing code that flows like a story, such as keeping functions small, using a single level of abstraction, and giving descriptive names to functions. The goal is to make code more readable and understandable, enhancing developer efficiency and collaboration.
As generative AI reshapes software development, natural language commands are replacing traditional programming syntax, but experts question if English can ever match the precision of code.
Introducing agent mode for GitHub Copilot in VS Code, announcing the general availability of Copilot Edits, and providing a first look at the SWE agent codenamed Project Padawan.
The article discusses the evolution of programming and argues that while AI is transforming the field, it is not replacing programmers. Instead, it is changing the nature of programming, requiring new skills and paradigms. The author emphasizes that programming will continue to evolve, with AI serving as a tool to enhance productivity and creativity.
A summary of personal experiences using generative models while programming, highlighting the benefits and practical applications of LLMs in productivity and programming tasks.
Guidelines for using large language models to improve Python code quality in casual usage.
Chat with GitHub Copilot in Emacs!
AI agent helping write and fix code, running tests and iterating till code passes tests or matches designs. Uses OpenAI API and aims to make coding easier.
Micro Agent is an AI agent that assists with coding, helping with code generation and iteration processes. It's a focused agent that aims to write code based on provided test cases or design screenshots. It can work in tandem with OpenAI and Anthropic APIs for better visual matching. The agent is designed with a specific focus - creating a clear test case and providing feedback on code that helps improve the generated code. Installation requires Node.js v14 or later, and it can be installed globally using npm. To get started, running the agent in interactive mode is recommended. Micro Agent can work in both unit test matching mode and visual matching mode for coding assistance. It uses a multi-agent approach and connects with Figma for high fidelity design-to-code conversions. Configuration options are available via CLI or UI.
Micro Agent is an AI agent that assists with coding, helping with code generation and iteration processes. It's a focused agent that aims to write code based on provided test cases or design screenshots. It can work in tandem with OpenAI and Anthropic APIs for better visual matching. The agent is designed with a specific focus - creating a clear test case and providing feedback on code that helps improve the generated code. Installation requires Node.js v14 or later, and it can be installed globally using npm. To get started, running the agent in interactive mode is recommended. Micro Agent can work in both unit test matching mode and visual matching mode for coding assistance. It uses a multi-agent approach and connects with Figma for high fidelity design-to-code conversions. Configuration options are available via CLI or UI.
Micro Agent, an agent that aids programmers, helping them write and fix code.
