Anatomy of a Prompt — System, User, and Assistant Explained
Harshavardhanan
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31 posts published so far
Choosing Embedding Models and Dimensions: Why 1536 Isn't Always Better Than 384
Harshavardhanan
What Are Embeddings and How Vector Similarity Actually Works
Harshavardhanan
How Tokenization Works: BPE and the Algorithm Behind Your LLM
Harshavardhanan
What Are Tokens and Why Your LLM Bill Depends on Them
Harshavardhanan
OpenAI Prompt Caching: Undocumented Cross-Model Behavior and Production Cost Implications
Harshavardhanan
Model Selection for AI Agents: Measuring Token Costs Across OpenAI's Model Family
Harshavardhanan
Token Explosion in AI Agents: Why Your Costs Scale Exponentially
Harshavardhanan
OOP Fundamentals for AI Applications
Harshavardhanan
SOLID Principles for AI Systems: Why Your RAG Pipeline Needs Better Architecture
Harshavardhanan
Thread Wars: Episode 3 – Rise of the Virtual Threads
Harshavardhanan
Thread Wars: Episode 2 – A New Hope
Harshavardhanan
Thread Wars: Episode 1 – The Thread Menace
Harshavardhanan
The Garbage Collector Who Works When He Feels Like It
Harshavardhanan
CQRS in Action: Designing a Real-Time Online Voting System
Harshavardhanan
Designing The Read Path In CQRS
Harshavardhanan
Designing the Write Path in CQRS
Harshavardhanan
The CQRS Sync Architecture: The Bridge Between Two Worlds
Harshavardhanan
Why CQRS Was Conceived: One System Cannot Serve Two Masters
Harshavardhanan
Why CQRS Was Conceived: When Write-Optimized Databases Are Asked to Read
Harshavardhanan
Why CQRS Was Conceived: When Read-Optimized Databases Are Asked to Write
Harshavardhanan
When Outbox Didn’t Fit — But Its Mindset Saved the Day
Harshavardhanan
Outbox: The Unsung King of Distributed Consistency – Long Live the King
Harshavardhanan
Advanced HashMap Series: Thread Safety in HashMaps
Harshavardhanan
Advanced HashMap Series: HashMap vs LinkedHashMap vs TreeMap
Harshavardhanan