MLOps
The Hidden Cost of Quiet Prompt Changes: How Small Adjustments Trigger Big LLM Spend
A senior engineer's guide to tracking subtle prompt tweaks that inflate cloud costs and break production systems without raising alarms
Blog
Thoughts on AI engineering, backend, frontend, and building modern software.
Cloud & Infrastructure
Deployment Boundaries for AI Services: Avoiding Hidden Infrastructure Costs
AI applications often hide infrastructure costs in deployment boundaries. Learn how to manage GPU, storage, and networking costs with practical strategies for production systems.
AI Engineering
From Prototype to Production: Building Reliable AI Systems
Turn your AI prototype into a production-ready system with concrete strategies for contracts, fallbacks, and evaluation
AI Agents
Why Multi-Agent Systems Fail: Tool-Call Permissions and Approval Boundaries
Most multi-agent systems fail in production due to uncontrolled tool-call permissions. Learn how to avoid catastrophic errors with strict approval boundaries and state-aware design.
Software Architecture
Decoupling AI Logic: When to Isolate Model Calls Behind Internal APIs
Decide where AI logic belongs in your architecture—frontend, backend, or platform layer—with practical examples and tradeoffs for maintainability, observability, and future-proofing.
AI Agents
Securing AI Agent Tool Access: Avoiding Production Pitfalls
Learn how to secure AI agent tool access, prevent unauthorized actions, and build robust production systems with clear permissions and observability.
Cloud & Infrastructure
Private Networking for AI Services: Avoiding Latency Traps
Optimize AI service performance with private networking strategies to reduce latency and ensure secure, scalable deployments.