Engineering Insights

The Ramsud Blog

Insights, patterns, and production experience from our engineering team, no fluff, just real-world systems thinking.

12+ Articles
6 Topics
Updated Weekly
Production-first Perspective
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From the Blog

Latest Articles

Code chooses tools, not LLMs - deterministic tool calling principle
August 21, 2026
Code Chooses Tools, Not LLMs

Why code should decide which tools to call, not LLMs. Deterministic tool calling vs agentic AI for money-critical decisions. Production refund system architecture.

Financial Systems Automation Production
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AI Engineering is not just prompts and LLMs
August 14, 2026
AI Engineering Is Not Just Prompts and LLMs

Why "choose an LLM, write a prompt, ship it" works for a demo—and what breaks when real users arrive. Distributed systems, reliability, and production architecture.

AI Engineering Distributed Systems Production
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AI-generated course curriculum in the Ramsud EdTech platform
July 24, 2026
Why We Don't Let AI Design Your Curriculum Alone

Why LLM-generated curricula need a deterministic validation graph, not a longer prompt: topological sort, cycle detection, and the repair-loop architecture behind our EdTech platform's course generator.

Applied AI Graph Algorithms EdTech
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Distributed rate limiting architecture with Redis and Spring Cloud Gateway
May 29, 2026
Distributed Rate Limiting in Spring Cloud Gateway: Lessons from Production

When a correct rate limiter becomes an incorrect architecture. How shared state, Redis, and layered edge protection solve the hardest distributed systems problems.

Spring Cloud Gateway Redis Microservices
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JWT validation patterns in microservices architecture
May 31, 2026
Where Should JWT Validation Happen in a Microservices Architecture?

Gateway-centric, distributed, or internal tokens? A practical guide to JWT trust boundaries with real-world tradeoffs across four production patterns.

JWT Microservices Security
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Data Engineering
June 11, 2026
The search platform was healthy. The dashboards were green. Yet users were reporting missing results.

This is a situation many organizations encounter as they scale real-time data platforms. While synchronization technologies can move millions of records efficiently, business stakeholders ultimately care about one thing: whether the search results are correct. Here's how we approached that challenge using PostgreSQL, Kafka Connect, and OpenSearch.

Data Engineering Kafka Connect OpenSearch CDC Debezium
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Internal RAG evaluation dashboard tracking retrieval and answer quality
July 6, 2026
How We Engineer AI Assistants That Employees Actually Trust

Inside the process behind a production-grade RAG system: quantitative evaluation, hybrid retrieval, reranking, and on-prem data governance.

RAG LLM Evaluation Enterprise AI
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Building a Production-Ready RAG System, our first RAG pipeline
May 2026
Building a Production-Ready RAG System: From Retrieval to Reliable Answers

Part 1 of our RAG engineering series: hybrid retrieval, reciprocal rank fusion, cross-encoder reranking, and the roadmap that followed.

RAG LLM Vector DB
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Thread pool workload isolation architecture
September 1, 2026
Your Cloud Bill Is Often an Architecture Problem

Latency spikes, timeouts and throttled-but-idle capacity are usually not capacity problems. A CTO's guide to workload isolation, container-aware pool sizing and backpressure.

Concurrency Java Kubernetes Cloud Cost
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Angular logo
July 12, 2026
When Angular Signals Actually Improve Performance

Practical lessons from building Angular applications in production: signals, readonly semantics, and component architecture.

Angular Signals
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