This article explores how AI agents are reshaping software development and the impact they have on a developer’s workflow. It introduces a practical approach to staying in control while working with these tools by adopting key best practices from the discipline of software architecture, including defining an implementation plan, splitting tasks, and so on.
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.
GitHub Copilot now features instant semantic code search indexing, dramatically reducing the time it takes for Copilot to understand and reference your codebase, making development workflows more efficient.
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.
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.
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.
This post highlights how the GitHub Copilot Chat VS Code Extension was vulnerable to data exfiltration via prompt injection when analyzing untrusted source code.
