Ediz Najim | Systems Thinking for Agentic AI

Ediz Najim | Systems Thinking for Agentic AI

@staai.bsky.social

Software Architect & Author of Systems Thinking for Agentic AI. Building reliable LLM & agent systems. Java • Distributed Systems • Agentic AI staaicore.com

51 followers197 following15 posts

Systems Thinking for Agentic AI An LLM is powerful , but an LLM alone is not an AI system. Now available on 📘 Leanpub leanpub.com/staai 📗 Google Books play.google.com/store/books/... Ediz Najim staaicore.com #agenticai #aiengineering #SoftwareArchitecture #LLM #RAG #MCP #SoftwareEngineering

leanpub.comSystems Thinking for Agentic AIA practical architecture guide for software engineers building reliable LLM, RAG, tool, memory, and agent systems for production.

Backpressure ≠ rate limiting. Problem: downstream cannot keep up, so queues grow and lag rises. Simple solution: bound concurrency, slow/pause intake, monitor lag, and scale only from measurements. Control demand before overload spreads. Ediz Najim staaicore.com

ELK is not just centralized logging. Elasticsearch stores/searches. Logstash parses/enriches. Kibana helps reconstruct failures. The architecture starts with structured logs + trace/request IDs. Collecting logs is easy. Reconstructing failures is the goal. Ediz Najim staaicore.com

Distributed transactions fail at boundaries. 2PC → coordinate commit SAGA → local commits + compensation Rollback → database concept Compensation → business concept The real design work is failure, idempotency, and reconciliation. Ediz Najim staaicore.com

You are up to date.