GITHUB COPILOT NOV ’25: AGENTS ACROSS IDES, CLI MULTI‑MODEL, PER‑WORKSPACE CONFIG
A GitHub Community roundup says Copilot shipped ~50 updates: agent‑specific instructions and pause/resume in VS Code, custom agents and Plan mode in JetBrains/E...
A GitHub Community roundup says Copilot shipped ~50 updates: agent‑specific instructions and pause/resume in VS Code, custom agents and Plan mode in JetBrains/Eclipse/Xcode, and a GA Eclipse coding agent. Copilot CLI now supports multiple models (GPT‑5.1, Claude Opus 4.5, Gemini 3 Pro, Raptor mini), VS Code adds per‑workspace settings and inline doc comment generation, with mentions of linter‑aware reviews and BYOK.
Agent controls, per‑workspace config, and multi‑model CLI support make it easier to standardize how AI participates in reviews, planning, and scripting across mixed IDE stacks.
Enterprise levers like BYOK and linter integration can align Copilot with existing security and quality gates.
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Pilot agent‑specific instruction files for test, migration, and docs agents in a few repos and measure review defects and cycle time.
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Benchmark CLI model choices on common data/infra tasks (e.g., SQL generation, ETL scaffolding, IaC updates) for speed, accuracy, and cost.
Legacy codebase integration strategies...
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Validate per‑workspace Copilot settings and agent instructions don’t conflict with repo linters, editorconfig, or existing PR templates.
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Roll out the Eclipse agent and VS Code features behind feature flags and audit how inline doc generation matches current code comment standards.
Fresh architecture paradigms...
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Define default agent roles, instruction files, and Plan‑mode checkpoints in project scaffolds to bake AI into design and review from day one.
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Set a model selection policy (fast vs reasoning) for CLI and IDE use to balance latency and cost on new services.