Terminal Agents: Claude Code vs Copilot CLI
Day 3 · Week 1 · Meet Your AI Tools
Slack Message — copy & paste
🤖 Tip #3 — Both Claude Code and Copilot CLI are terminal-native agents running the same skills. Pick by superpower, not capability.
#3 Claude Code · CLI
Two Agents, Different Superpowers
- Both are terminal-native agents running the same skills with the same MCP servers — but each has distinct superpowers.
- Claude Code strengths
- › 1M token context (with Opus) — 8x more than most models
- › Worktree isolation — agents get their own repo copy
- › Persistent memory across sessions
- › 13 plugin agents with model tiering (Opus/Sonnet/Haiku)
- › Full hook system (18 events + prompt hooks)
- › Checkpoint rollback and @import in CLAUDE.md
- Copilot CLI strengths (GA Feb 2026)
- › Multi-model: Claude, GPT, Gemini — switch mid-session with /model
- › /fleet: run same task across multiple subagents in parallel
- › Plan mode (Shift+Tab): structured planning before coding
- › Cloud delegation: prefix with & to offload to cloud agents
- › Cross-session memory (remembers conventions)
- › 25 Copilot agents (vs 13 in Claude Code)
Claude Code Copilot CLI Terminal
#3 Meet Your AI Tools
When to Use Which
- 1 Match tool to task
- › Deep architecture work → Claude Code (1M context)
- › Multi-model comparison → Copilot CLI (switch models)
- › Parallel subtasks → Copilot CLI (/fleet)
- › Plugin development → Claude Code (hooks + worktree)
- 2 Pick your terminal agent based on your primary need
- › Need depth and isolation → Claude Code
- › Need model variety and parallelism → Copilot CLI
- 3 Run the same /dx-plan on a ticket in both tools — compare how they approach the problem with different models
- 4 Try both for a week before settling on a default — they're complementary, not competing
Claude Code Copilot CLI Terminal
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