AI in Software Development Code Faster, Fail Smarter



AI Summary

Overview

  • Event Introduction: Software Crafts People India Community (SECIP)
    • Not-for-profit organization focused on software craftsmanship.
    • Mission: Enhance skills through talks, workshops, and community involvement.
    • Founder: Incubite, a software development agency.

Speaker Introduction: Sapan Parik

  • 20 years in the industry as a tech evangelist and mentor.
  • Experience managing software teams and creating quality products.
  • Currently the founder of Incubite.

Presentation Focus: Using AI in Software Development

  1. AI in Development: Demonstrations of AI tools like Claude Code (CLaud), emphasizing a shift from traditional software development practices.
  2. Generative AI in Action: Sapan creates an application using prompts with Claude Code and demonstrates how it generates code based on user inputs.
  3. Multitasking and AI: Illustrates the need for developers to juggle multiple tasks while utilizing AI tools effectively.
  4. Hands-on Demo:
    • Creating a front end for a spending application similar to Splitwise.
    • Discusses the iterative process of coding and using prompts, observing outcomes, verifying results, and debugging code.
  5. Software Development Workflow: Changed from traditional methods (think-develop) to a new workflow with AI (think-prompt-observe-verify-run).
  6. Implementation of TCR Methodology: Introduces test-commit-revert (TCR) as a strategy for maintaining code quality while using AI.
  7. Challenges with AI: Potential issues include managing large codebases generated by AI and ensuring quality and maintainability of generated code.
  8. Recommendations: Suggestions for making the most of AI in development include standardizing design formats (using Figma, Swagger) and documenting processes clearly.
  9. Future of Development: Forecasts a shift from developers as coders to being air traffic controllers, coordinating multiple AI agents.

Conclusion

  • AI has the potential to drastically change software development, but human oversight and structured requirements remain crucial for success.