COPILOT AGENTS GET REAL KNOBS: CLI CONTROLS, VS CODE DEBUGGING, AND A TOOL CATALOG—WATCH TOKEN BURN
GitHub and Microsoft shipped practical upgrades for Copilot agents across the CLI and VS Code, while users report a spike in token usage.
GitHub and Microsoft shipped practical upgrades for Copilot agents across the CLI and VS Code, while users report a spike in token usage.
You can now govern what agents do, debug them like code, and wire tools cleanly—reducing chaos as adoption grows.
Early reports show higher token burn; teams need controls and budgets before rolling this out widely.
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terminal
Run the same task with different --reasoning-effort levels and tool sets; compare quality, latency, and token spend.
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terminal
Configure an MCP server via .devcontainer/devcontainer.json, enable confirmation prompts for tool runs, and step through an agent with the Agent Inspector.
Legacy codebase integration strategies...
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Use GH_HOST and proxy env vars documented in the CLI to fit enterprise networks; gate risky tools behind the new confirmation flow.
- 02.
Roll out agent features to a subset of repos; monitor Copilot token usage and disable experimental extensions if costs spike.
Fresh architecture paradigms...
- 01.
Start with the AI Toolkit’s Tool Catalog and "Evaluation as Tests" to lock in repeatable agent workflows from day one.
- 02.
Run agents locally or in the CLI for fast loops, then hand off to cloud agents when ready for branch/PR automation.