Want some god-tier wisdom on handling MASSIVE code projects without breaking the bank? 🤯 In this video, I reveal how I leverage the incredible power of Google AI Studio and large context models like Gemini 2.5 to analyze, debug, and even generate code for complex applications—FOR FREE.
I walk through my journey:
► Building a complex marketing behavior prediction system (0:14)
► Using Spark/Sappo in R (and its costs) (1:10)
► Hitting limitations with testing large data mappings (Olist dataset example) (1:46)
► My "Aha!" moment: Consolidating my ENTIRE project (backend, frontend, knowledge graph/OWL files) into a single text file (2:53)
► Feeding ~980k characters (only ~333k tokens!) into Gemini via Google AI Studio (3:30)
► How Gemini analyzed the whole program, generated mapping files flawlessly, and created improvement plans (3:50, 6:15)
► Using simple Python scripts (created with Cursor/AI help) to consolidate files easily (5:01)
► Comparing the FREE Google AI Studio approach vs. paying for API calls (7:44)
► Using the Gemini-generated plan with tools like Windsurf for execution (6:29, 9:35)
► Why this approach is viable even for huge (50k-75k+ lines of code) projects (4:28)
Stop paying hefty bills when powerful FREE tools like Google AI Studio exist! Learn how to structure your workflow to feed your entire codebase (or large sections) into Gemini, fix bugs lightning-fast, and accelerate your development. Perfect for complex projects, bug fixing, or just leveling up your AI-assisted coding game.
🛠️ Tools Mentioned:
* Google AI Studio (with Gemini 1.5 Pro / "2.5")
* SPARC / SAPPO Vibe Code Setup: https://github.com/ChrisRoyse/AI-Vibe-Code-Setup
* Cursor (Free tier)
* Windsurf (Mentioned free tier availability)
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