Guided Course
Self-Improving AI Systems
Automated prompt optimization, log-driven harness patching, principle extraction, memory-driven evolution, and the governance framework for systems that modify themselves.
- 1. What self-improvement means7 min
- 2. The dual-loop architecture6 min
- 3. Prompt versioning and experimentation7 min
- 4. Automated Prompt Engineering (APE)6 min
- 5. Production prompt optimization8 min
- 6. Structured Execution Logging11 min
- 7. Failure Analysis and Pattern Extraction10 min
- 8. Automated Harness Patching9 min
- 9. Principle Extraction11 min
- 10. Workflow Topology Evolution10 min
- 11. Memory-Driven Evolution10 min
- 12. Governance of Self-Modifying Systems9 min
- 13. Capstone: Building a Self-Improving System10 min
- Key takeaways4 min
- How to get certified3 min
- Your certificate
About Nybble™
The AI space moves fast.
Nybble™ is how you keep up — and stay sharp.
What happened. In two minutes.
The AI news cycle moves at a pace no one can keep up with. Snack distills what launched, what shipped, and what matters — every day, without the filler.
Go to SnackThe concepts behind the headlines.
News tells you what. Stack tells you why and how. From RAG architectures to agentic evals, these are the ideas that will shape what you build next.
Go to StackProve you actually get it.
Reading about LangChain is not the same as knowing it. Hack challenges you with production-grade questions, then shows you the references that make the answer stick.
Go to Hack