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.
The Inference Cost Wall: When Fine-Tuning Beats Frontier API Calls
The inference cost wall in AI: analyzing the inflection point where running distilled models on neocloud infrastructure beats paying per-token for frontier models.
· StrategyInvestment Thesis for AI: Valuing Intelligence in the Age of Inference Arbitrage
Investment thesis for AI companies in 2026: analyzing how inference arbitrage, infrastructure moats, and open weights reshape valuation models for AI startups and public companies.
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.