Handling Context Window Limits in Multi-Agent Loops
Architectural patterns for summarizing, pruning, and passing context between collaborative subagents without hitting OOM errors.
From the Front Lines of Tech
Sharing strategic insights and lessons from over 20 years of building scalable systems, leading high-performing teams, and navigating complex technology shifts.
Serverless Inference: Conquering the 5-Second Cold Start
The infrastructure hacks required to make scale-to-zero LLM inference viable for production latency.
Architecting the AI Gateway: Centralizing Token Routing and Fallbacks
Why enterprise teams are moving away from direct API calls and building internal proxy gateways to handle rate limits, caching, and automatic vendor failovers.
· StrategyThe End of Prompting: Shifting to Objective-Driven AI
Why prompt engineering is a transitional skill and objective formulation is the future of human-computer interaction.
FlashAttention-3 vs. RingAttention: Memory Management for Infinite Context
A deep mechanical breakdown of how competing attention algorithms like FlashAttention-3 and RingAttention manage memory to scale LLMs beyond 1M tokens.
State Management in LangGraph: Checkpointing and Time Travel
How to handle complex agent states, pause execution, and debug multi-agent loops via LangGraph checkpointers and time travel.