Uploaded June 2026 | Updated September 2026, 3 weeks ago
This GitHub Copilot Token Optimization Deep Dive session is designed to help developers and engineering teams maximize the value of usage-based billing by focusing on efficiency, quality, and outcomes. Participants will gain a clear understanding of how tokens are generated and consumed, how context and agent behavior influence cost, and how to apply practical optimization techniques across prompts, models, and workflows. The session emphasizes shifting from cost minimization to quality-driven optimization to improve both performance and return on investment.
#microsoftreactor #learnconnectbuild
Chapter markers:
0:05 - Introduction and housekeeping
0:59 - Session start: GitHub Copilot prompt optimization and usage-based billing
3:01 - The shape of the day: CLEAR framework, composition, and sharing
4:26 - Why token optimization matters: Quality per token
7:37 - Introduction to the CLEAR framework (Constraint, Lean, Explicit, Architected, Reusable)
14:26 - Live demo: Auditing and rewriting a messy PR description prompt
22:55 - Live demo: Code review prompt optimization
27:25 - Live demo: Email summarization prompt optimization
31:16 - Introducing the Cates (Coding Agent Token Economic Standard) analyzer
39:23 - Advanced patterns: The importance of composition over "mega prompts"
46:08 - Live demo: Analyzing an incident report (RCA) prompt
49:35 - Running Cates analyzer on configuration files and setting up CI gates
50:35 - Summary of next steps and the 30-day plan
51:38 - Q&A session and closing remarks
[eventID:27334]
This GitHub Copilot Token Optimization Deep Dive session is designed to help developers and engineering teams maximize the value of usage-based billing by focusing on efficiency, quality, and outcomes. Participants will gain a clear understanding of how tokens are generated and consumed, how context and agent behavior influence cost, and how to apply practical optimization techniques across prompts, models, and workflows. The session emphasizes shifting from cost minimization to quality-driven optimization to improve both performance and return on investment.
#microsoftreactor #learnconnectbuild
Chapter markers:
0:05 - Introduction and housekeeping
0:59 - Session start: GitHub Copilot prompt optimization and usage-based billing
3:01 - The shape of the day: CLEAR framework, composition, and sharing
4:26 - Why token optimization matters: Quality per token
7:37 - Introduction to the CLEAR framework (Constraint, Lean, Explicit, Architected, Reusable)
14:26 - Live demo: Auditing and rewriting a messy PR description prompt
22:55 - Live demo: Code review prompt optimization
27:25 - Live demo: Email summarization prompt optimization
31:16 - Introducing the Cates (Coding Agent Token Economic Standard) analyzer
39:23 - Advanced patterns: The importance of composition over "mega prompts"
46:08 - Live demo: Analyzing an incident report (RCA) prompt
49:35 - Running Cates analyzer on configuration files and setting up CI gates
50:35 - Summary of next steps and the 30-day plan
51:38 - Q&A session and closing remarks
[eventID:27334]
