SMRTR AIJul 29, 2026lobste.rs

A Practical Guide to Reducing Token Spend

SMRTR summary

By switching from an AI skill-based workflow to a deterministic "swamp" workflow for code reviews, token usage dropped 8x (from 4.5 million to 500,000 tokens) and runtime was cut in half. The key insight: stop putting AI in every decision loop — use deterministic code where possible, and reserve AI only where intelligence is actually needed.

SMRTR provides this summary for quick context. The original article belongs to lobste.rs.

Read the original article
SMRTR AI

Get the next batch of curated stories in your inbox.

This archive is built from SMRTR newsletter stories. Subscribe for hand-picked stories without the extra noise.

Related Stories

Browse AI
AIAug 27, 2026

SpaceKit AI

SpaceKit AI is a public research hub for Growformer, an ML system with a promote-freeze neural substrate, language model experiments, neural cellular automata, and reproducible...

AIAug 27, 2026

Small Models Have Arrived

Small AI models are now 10x cheaper than before, making high-volume consumer and business AI apps financially viable—tasks costing $1 now cost ~$0.10, enabling affordable,...

AIAug 27, 2026

Why I Am Right About AI

The piece satirizes tech-bro certainty about AI replacing writers, using absurd logic and fake statistics to parody real thought leaders—exposing how hollow and self-serving those...