Guidance on choosing the best AI model for GitHub Copilot projects, considering speed, depth, cost, and task complexity. Models discussed include GPT-4.1, GPT-4o, Claude 3.5 Sonnet, o4-mini, o3, Gemini 2.0 Flash, and GPT-4.5.
This article explores a framework for evaluating AI models for use with GitHub Copilot, considering factors like recentness, speed, accuracy, and how to test them within your workflow. It highlights the benefits of using different models for chat versus code completion, and reasoning models for complex tasks.
A repository containing extracted system prompts and tools for various AI models including FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, and VSCode Agent. It offers insights into the structure and functionality of these models and includes a security notice for AI startups.
This blog post introduces the Semantic Telemetry project at Microsoft Research, which uses a data science approach to analyze how people interact with AI systems, specifically focusing on Copilot in Bing usage. It discusses the complexity of human-AI interactions and how they differ from traditional search.
- Topics: Copilot in Bing chats were analyzed for topic categorization. Technology (21%) was the most common topic, followed by Entertainment (12.8%), Health (11%), and others. Within technology, programming and scripting were prominent subtopics.
- Platform Differences: Mobile users tend to use Copilot for personal tasks, while desktop users engage in more professional activities.
GitHub Copilot Extensions allow developers to use natural language to query documentation, generate code, retrieve data, and execute actions on external services without leaving their IDEs. They support public extensions from companies like Docker, MongoDB, Sentry, and allow developers to create their own extensions for internal libraries or APIs.
Augment Code is an AI coding assistant aimed specifically at professional software engineers and large codebases, offering features like project summaries, code improvements, and real-time code completions. It is designed to enhance productivity by understanding the context and style of your project, providing useful suggestions and improvements.
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.
A tutorial to set up a local, open-source virtual assistant and a code assist feature similar to Copilot using Ollama, Llama3, Continue, and Open WebUI.
Improve GitHub Copilot Chat responses by indexing repositories for semantic code search, allowing better context-based answers to questions about code within a repository.
GitHub Copilot now offers text completion for pull request descriptions. This beta feature helps developers write more effective descriptions by suggesting completions based on context.
