Code 3.0

Stages of programs

• Code 1.0: Humans write all the logic by hand using traditional programming.
• Code 2.0: AI learns the logic from data using models like neural networks.
• Code 3.0: AI systems improve themselves through self-learning and adaptation.

Code 3.0 program

A Code 3.0 program using LLMs means: The program uses the LLM to write, critique, and refine its own code or behavior — with minimal human input.

It’s like combining:

• LLM (e.g., GPT-4) as a programmer
• A loop or agent framework to evaluate and revise
• Optionally, memory or database to retain learnings over time

Build steps:

• Step 1: Define the goal
• Step 2: Feedback loop

    loop:
      generate_code_or_plan()
      execute_or_simulate()
      evaluate_result()
      revise_code_or_plan()
  

• Step 3: Use LLM to Power the Cycle
  • Generate initial solution
  • Reflect and critique its own output
  • Try a revised version
• Step 4: Add Memory (Optional but powerful).
  • Use: A vector database (e.g., Chroma, Weaviate), JSON or SQLite
  • To store: Past attempts, Lessons learned, Evaluation scores

Example Use Case: Self-Improving Code Generator

• User: "Write a Python script that scrapes prices from a website."
• LLM writes first version.
• Script runs, fails.
• LLM is shown the error and rewrites the code.
• Each attempt is logged and used to fine-tune future decisions.

Code3 Framework

Code3 Framework helps you to build Code 3.0 program, coordinate with other Code 3.0 programs to build a complete solution for you business needs.