AI in Action: How the Accrevent PLM Windchill Team is Boosting Developer Productivity with GitHub Copilot

In the fast-paced world of software development, efficiency, code quality, and productivity are paramount, especially for PTC Windchill Java developers. The GitHub Copilot extension seamlessly integrates into the development environment, acting as an intelligent coding assistant that transforms the development experience. By leveraging the power of AI, GitHub Copilot suggests context-aware code completions, automates boilerplate generation, and helps developers adhere to best practices effortlessly. This not only accelerates the coding process but also enhances code reliability and maintainability, empowering Java developers to focus more on solving complex problems and less on repetitive tasks.

GitHub Copilot, integrated with IntelliJ IDEA, is transforming their Java development workflow. By using a suite of intelligent commands, they’ve drastically reduced time spent on routine tasks while improving code quality and team efficiency.

Detailed Highlights of GitHub Copilot Commands in Use :

Pre-built Slash commands:

 1. /doc – Generate Documentation

  • Challenge: Writing source code documentation and inline comments manually was time-consuming.
  • Solution: The /doc command automatically generates meaningful documentation and comments for selected code.
  • Impact: Reduced documentation time from 5% to just 1%, while improving clarity and maintainability.

 2. /explain – Understand Code Quickly

  • Challenge: Understanding unfamiliar or complex code required team collaboration and significant time.
  • Solution: The /explain command provides a concise summary and detailed explanation of the selected code.
  • Impact: Cut comprehension time from 10% to 3–5%, enabling faster onboarding and debugging.

3.  /simplify – Refactor for Readability

  • Challenge: Modularizing and simplifying legacy code without breaking functionality was difficult and time-intensive.
  • Solution: The /simplify command restructures code for better readability and modularity.
  • Impact: Reduced effort from 20–25% to just 5–10%, while enhancing code quality and maintainability.

4.  /fix – Resolve Errors Efficiently

  • Challenge: Debugging runtime errors was a trial-and-error process.
  • Solution: The /fix command identifies issues and suggests fixes or alternatives.
  • Impact: Reduced debugging time from 15–20% to 5%, improving consistency and reusability.

5.  /tests – Generate Unit Tests

  • Challenge: Writing accurate JUnit/Mockito test cases was time-consuming and required deep understanding.
  • Solution: The /tests command auto-generates test cases for selected methods or classes.
  • Impact: Cut test creation time from 20–25% to just 5%, ensuring better test coverage and reliability.
Do more with the Copilot:

 1. Fix Vulnerabilities

  • Challenge: Identifying and fixing security vulnerabilities manually was complex and error-prone.
  • Solution: Copilot’s inline chat helps detect and fix vulnerabilities with contextual suggestions.
  • Impact: Reduced effort from 20% to 5%, aiding in Coverity scans and reducing rework.

 2. Code Review

  • Challenge: Manual code reviews were time-consuming and dependent on lead availability.
  • Solution: Copilot reviews code inline, offering suggestions, comments, and fixes.
  • Impact: Review time dropped from 10% to just 1–2%, streamlining the feedback loop.

3. Optimization

  • Challenge: Optimizing loops, queries, and exception handling required deep focus and time.
  • Solution: Copilot suggests performance improvements directly in the IDE.
  • Impact: Reduced optimization time from 20% to 5–10%, improving performance and code quality.

4. Committing Files

  • Challenge: Ensuring correct file commits and build structure alignment was error-prone.
  • Solution: Copilot detects modified files and suggests correct repository entries.
  • Impact: Reduced commit-related effort from 5% to 1–2%, minimizing build issues.

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 Conclusion

 The Accrevent team’s adoption of GitHub Copilot is a shining example of how AI can elevate software development, making it faster, smarter, and more collaborative.

Know more about how the Accrevent team can boost the productivity of your Windchill development and implementation process.

Contact us at info@accrevent.com   

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