Are your teams running out of GitHub Copilot credits?

2 days ago

GitHub Copilot's shift to usage-based billing with AI Credits (AIC) from June 2026 requires teams to manage consumption, as many exhaust credits mid-month, impacting delivery.
Establish visibility into AI credit usage via GitHub REST APIs and VS Code telemetry to monitor consumption patterns at individual, team, and organizational levels, avoiding opinions in optimization discussions.
Treat AI models as probabilistic systems, not human coders; poor context leads to inefficient token usage, emphasizing the need for high-quality, minimal context engineering over large, irrelevant inputs.
Optimize context through techniques like context forking and task-specific agents, avoiding unnecessary tools (MCP servers) and selecting models based on task complexity to prevent wasted capacity.
Enhance agent efficiency by using deterministic tools (e.g., scripts, linters), separating memory (retained knowledge) from context (task-specific input), building smaller agents with clear responsibilities, and implementing hooks for guardrails.
Share effective agents and reduce duplication via GitHub Copilot plugins, enabling organizational governance and consistent engineering of agent capabilities across teams.
Use evaluations (evals) to assess agent outcomes and consumption efficiency, ensuring optimizations reduce waste without compromising effectiveness, especially for autonomous agents prone to unbounded self-correction loops.
Adopt a systematic approach: monitor usage, understand workflows, engineer improvements, evaluate outcomes, and only then consider buying more credits to avoid funding inefficiencies like bloated context or poor model choices.

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Kimi K2.7 Code is generally available in GitHub Copilot

Are your teams running out of GitHub Copilot credits?