GitHub Copilot's #CodingAgent is at the core of how I kick off new personal projects(obviously I use a slightly different approach for Enterprise Projects), especially when I start with documentation.
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Learn how to customize GitHub Copilot with Instructions, Prompts, Agents, and Skills to enhance your development workflow.
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GitHub Copilot can be a significant ally in Spec Driven Development, helping you work faster, stay consistent with your specs, and automate large parts of the workflow.
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Spec Driven Development (SDD) is an excellent approach for building a website-whether it's a simple portfolio or a complex web application.
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Issues aren't just for bug reports - they serve as living documents where teams discuss and log decisions, technical debates, and clarifying questions.
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SDD is an approach where specifications - often written as structured documents, test cases, or code-based contracts-drive the implementation of software features.
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Understanding GitHub Copilot's technical safeguards and legal protections will help you establish trust with this powerful AI tool in your organization.
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If you want your developers to move fast but safely then AI policy and governance can't just be an afterthought. Here's a practical blueprint for an internal dev AI policy.
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GitHub Copilot's Agent Mode takes AI assistance to the next level by allowing the AI to understand and execute multi-step instructions, transforming how developers interact with code.
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By letting Copilot handle repetitive code and initial drafts, you can keep your creative momentum up and explore a wider range of solutions in less time.
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Getting sharp code suggestions from GitHub Copilot is no accident - it depends on the context you provide through comments, names, and file structure.
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The spec driven development kit transforms working with requirements from a tedious task into an interactive, creative challenge that makes coding more enjoyable.
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GitHub Copilot helps write code that's easier for teams to collaborate on, with clearer names, better documentation, and consistent formatting.
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Build features fast without compromising security - GitHub Copilot prompts for input validation, edge cases, and security best practices in real time.
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GitHub Copilot helps maintain consistent coding style across projects while catching edge cases you might overlook.
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Review, understand, and validate AI-generated code. Balance the speed of AI assistance with maintaining code quality and safety.
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Pair programming has long been a secret weapon for building stronger skills and catching bugs early. But what happens when your pair is an AI trained on millions of real-world projects?
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Native, two-way integration between GitHub Advanced Security and Defender for Cloud creates an end-to-end feedback loop linking source code findings with runtime security insights.
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