Your agents lack context: Here's how to fix "You're absolutely right!" — Brandon Waselnuk, Unblocked

תקציר מקורי באנגליתUnblocked ran the same prompt against the same model twice, once with a context engine behind it and once without. The run without it burned twenty one million tokens. The run with it burned ten point eight million and finished about two hours sooner. Brandon Waselnuk works in developer relations at Unblocked, and he opens with the standard his talk is named for: AI generated code should feel like it was written by someone who has been on your team for years. You became that person by asking questions, getting PRs rejected, sitting in meetings, and being on call the night production went down. An agent starts every session with none of it. Waselnuk traces how that gap compounds as teams move from tab completion toward parallel and background agents, turning into correction loops, wasted se