Cost Optimization for LLM-Powered Mock Generation: Keeping AI Affordable
Practical ways to control LLM mock-generation costs with caching, limits, and smarter usage patterns.
6 min
Writing · Page 3 of 4
Field notes on production AI, search, and shipping.
Operator notes with concrete tradeoffs: what I built, what broke, and what I’d do again. 40 posts and counting.
Intelligent API Sync in MockForge: Deep Response Comparison for Mock Maintenance
How MockForge detects upstream API drift and keeps mocks aligned through deep response comparison.
6 min
TLS, mTLS, and Tunneling: Production-Ready Security for Mock Servers
How to support HTTPS, mTLS, and secure tunneling in mock servers for production-like integration testing.
4 min
OAuth2 and PKCE in Generated Clients: Building Production-Ready Authentication
How generated API clients can handle OAuth2 and PKCE securely instead of leaving auth as manual glue code.
5 min
Multi-Framework Client Generation: From OpenAPI Specs to Type-Safe Code
A look at generating type-safe API clients across frontend frameworks directly from OpenAPI specifications.
4 min
LLM-Powered Mock Data Generation: Beyond Faker Libraries
Why realistic API mocks need schema-aware, context-aware generation instead of disconnected faker data.
7 min
GraphQL and WebSocket Protocol Support: Multi-Protocol Mocking Architecture
How protocol abstraction makes it possible to add GraphQL and WebSocket mocking without duplicating core logic.
4 min
Racing LLMs: The Rust Fan-Out Bridge for Ultimate Low Latency and Reliability
How a Rust fan-out bridge can race multiple model providers to improve first-token latency and resilience.
6 min
Rust LLM streaming bridge: A Low-Latency Superpower for Any App
Why a Rust streaming bridge is a practical way to cut perceived latency in LLM-powered applications.
5 min
ONNX Runtime in .NET: Ship Models Without Python Servers
How to run trained models directly inside .NET applications with ONNX Runtime instead of hosting Python services.
5 min