Get More From Your Dev Workflow

Software development moves fast, and keeping your skills current is part of the job. Whether you're just starting out or have years of experience, a few targeted upgrades to how you work can make a real difference. Below are five practical moves to help you code more efficiently, write more secure software, and position yourself for growth.

Master Prompting for AI Pair Programmers

AI coding tools like GitHub Copilot can help you ship code significantly faster, but they work best when you give them context. Prompt engineering—the practice of crafting clear, detailed instructions—is the key to getting better output from your AI assistant. Here are three ways to improve your prompts:

  • Open related files. GitHub Copilot doesn't just analyze your current file; it processes all open files in your IDE. Keeping neighboring tabs open helps it identify matching code segments across your project and deliver more relevant suggestions.
  • Start with a top-level comment. A brief comment explaining the overarching goal of your code gives Copilot the "big picture" before it deals with implementation details. Break down the logic step by step, then let Copilot generate the code incrementally rather than all at once.
  • Provide sample code. Even a short snippet that resembles what you need can help Copilot fine-tune its suggestions to your language and objectives.

Use GitHub Shortcuts and Built-In Features

Small tricks can keep you in the flow.

  • Find any file fast: Press "t" to activate the file finder.
  • Use the file finder to locate any file quickly.
  • Link pull requests to issues. GitHub's project management features let you connect pull requests and commits directly to related issues. This keeps context organized for everyone on the team and eliminates the hunt for older issues when you're ready to merge.
  • Create custom actions. Package repetitive steps into your own GitHub Actions. This promotes code reuse and simplifies maintenance across workflows.
  • Give better feedback. You can comment directly on pull requests, propose changes, and accept suggestions inline. For common responses, save time by creating a "saved reply" in the pull request comment box.

Sharpen the Human Side of Your Skillset

As AI introduces new technical challenges, soft skills become increasingly important. They improve communication, foster collaboration, and help you solve complex problems. Keep these in mind:

  • Communication: Whether you're talking to stakeholders, explaining technical topics to non-technical colleagues, or prompting an AI tool, clear communication is required for efficient collaboration.
  • Problem-solving: Critical thinking helps you break down complex challenges into manageable parts and use AI tools to find innovative solutions.
  • Adaptability: With AI tools changing regularly, a growth mindset helps you learn new skills and accept change. Deliberately push into new situations to build resilience.
  • Ethics: Know both what AI tools can do and their limitations. Use critical thinking to interpret results responsibly.
  • Empathy: Genuine empathy goes two ways—understanding the needs of your end-users and respecting the perspectives of your teammates.

Put AI to Work on Code Security

Instead of only catching flaws months later, AI coding assistants can help prevent vulnerabilities during development. Pair programmers provide context-aware and secure code suggestions right where you code, making "shift left" security an everyday possibility.

Traditional security scanning often dumps a long list of alerts, many of them duplicative. AI-driven features like code scanning autofix step in by generating AI-written code fixes alongside an alert, allowing you to spend less time triaging more time fixing vulnerable code. Secret scanning can likewise identify potentially leaked credentials in your repos. AI can also assist with an ongoing challenge for security teams: modeling the huge number of open-source frameworks and libraries that are constantly updated. By applying AI to modeling work, security teams can increase the detection of vulnerabilities in areas that would be too time-consuming to model manually.

Invest in Face-to-Face Learning

Professional events remain a concrete way to learn about new technology, network with people in the field, and improve your craft in a short amount of time. GitHub Universe 2024 offers dedicated content tracks and learning experiences with:

  • Deep-dive sessions: Keynotes, breakout sessions, and demos bringing frameworks and best practices from more than 100 experts in the industry.
  • Skill-building workshops: You can even get certified in GitHub Actions, GitHub Advanced Security, GitHub Foundations, or GitHub Administration during interactive workshops.
  • Visibility opportunities: You're welcome to submit a session proposal (the call for sessions remains open until May 10). Sharing your research or insights establishes your presence as a thought leader in the community.
  • Career support: The Career Corner is an area dedicated to professional development conversations. Use the Discussions Lounge to build a network and find mentorship opportunities.

Apply these strategies, and you'll have a stronger base of technical skill, self-awareness, and connections to take your career further this year. If you're planning on GitHub Universe, look for early bird pricing on in-person tickets before July 8, and there's a complimentary virtual option to stay in the loop as well.