AiCoach

Limitations and Considerations of AI Coding ⚠️

LIP #249
Sep 01, 2025

Reality Check: 📊

  • 77% of employees report AI increased their workload
  • Developers feel 20% faster but are actually 20% slower
  • Economists expected 40% speedup - reality was different

Key Limitations:

🧠 Context Limits

  • LLMs can only process limited information at once
  • Challenge: Providing right context at right time

⚠️ Quality Issues

  • Non-deterministic: Outputs aren't always consistent
  • Unrelated code: AI adds unrequested elements
  • Model quantization: Quality drops during high demand

💰 Practical Concerns

  • Usage costs: $100/month for pro plans
  • IP ownership: Unclear code ownership rights
  • Version changes: Constant LLM updates

Remember: Coding is just one part of software development:

  • Brainstorming → Requirements → Design → Coding → Testing → Deployment → Maintenance

Every line of code creates potential scalability, security, and performance challenges.

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