Agent Infrastructure

JSON Is a Token Trap. Stop Feeding It to Your LLMs.

Developers assume JSON and Markdown are the perfect bridges to LLMs, but these formats are bloated token traps. LLMs are trained heavily on programming languages, meaning they process dense, compressed code far more efficiently than verbose data structures. To cut costs and boost accuracy, we must stop feeding AI human-readable formats and start using compressed symbolic DSLs.

I Spent $300 Self-Hosting Kimi K3 Inference. It Was a Trap.

Self-hosting Kimi K3 inference seems like a cost-saving move, but the hidden ‘optimization tax’ — the engineering hours needed to tune inference engines to match API performance — makes it a net loss for most teams. After spending $300 and countless hours, the break-even math doesn’t hold unless you’re at true scale with dedicated inference engineers. The API bill you resent is someone else absorbing that complexity for you.