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12TB of AI Coding Agent Logs (17 minute video)
AI coding agents are moving away from brute-force token usage toward strict efficiency as companies transition to usage-based per-token billing.
What: The video analyzes 12TB of agent logs, finding that successful coding workflows require upfront session planning, tighter context management, and API-first tooling.
Why it matters: As cost-per-token becomes the primary constraint, engineering teams are shifting from open-ended agent experimentation to structured, human-in-the-loop workflows.
Original article
AI coding is shifting from token maxing to token efficiency as teams move from subscriptions to per-token billing and costs become harder to control. Better workflows rely on careful upfront planning, right-sized agent sessions, cleaner context, API-first tooling, strong CI, and focused human review.
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