AI-Driven Code Generation and Testing: Accelerating Development with GenAI
summary
Demonstrates a running workflow that uses a local LLM (Ollama local LLM) plus chained agents to generate a Python function, auto-generate and run test cases, merge inputs and outputs, and execute them locally; shows CSV→JSON normalization and MySQL inserts so the chain writes five records 5 inserts totalling 10000 EGP and reports back the summary. Prototype runs on a laptop and the end-to-end prototype completes in about 1.5 hours instead of days.
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chapters (9)
- 0:00Introduction to GenAI code generation
- 1:47Building workflow with agents
- 6:09Inventory management demo
- 11:14Real-world applications and benefits
- 14:30Complex code simplification
- 17:07Natural language queries
- 19:28HR documentation automation
- 21:42Server monitoring automation
- 25:51Q&A session
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