🚀 Getting Work Done Fast: AI in Real-World Delphi Development

Two of today’s AI CodeCamp sessions spotlighted how AI is accelerating real-world development—particularly in Delphi—and doing so with surprising efficiency. These weren’t speculative presentations. They were practical, hands-on demonstrations of how to get specific tasks done quickly using modern LLMs.

🧩 Porting Python to Delphi — Fast

Presenter: Miguel Moreno
Session: Porting a Python REST client app to Delphi using AI

Miguel took an aging Python client and used ChatGPT to port it—successfully—to Delphi. Key takeaways:

• Specific, detailed prompts were essential for a clean conversion.
• One prompt converted the outdated Python class into a running Delphi console app using HTTPClient.
• A revised prompt swapped in the RESTClient component instead—successfully.
• JSON responses were turned into Delphi records via a second targeted prompt.
• Human input still mattered, but overall time-to-solution was dramatically reduced.

His takeaway? “You must talk to your AI assistant.” Iteration was key.

🔧 Small Prompts, Big Results

Presenter: Diego Emani
Session: Developing in the AI Era! Tips and Tricks

This rapid-fire 17-minute talk illustrated how AI can handle 13 different coding tasks with just a few well-formed prompts. Examples included:

• Converting JSON to Delphi classes
• Suggesting SQL improvements
• Detecting bugs
• Simplifying code scopes
• Generating API call stubs

According to Diego, a recent Google study showed 21% faster development with AI help—and his demos made that feel conservative.

✍️ About This Post

This post was created using a collaborative workflow:

1. Human-authored notes taken during the sessions
2. Transcription and synthesis aided by AI
3. Final editing and voice refinement by a human author

The result? A fast and faithful summary of two AI-powered developer workflows—created by a team of one human and one helpful LLM.

Originally presented during AI CodeCamp 2025, Day 4.