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AI Coding Tools (Copilot, Cursor, etc.)

Key Points

  • GitHub Copilot: Microsoft's; ubiquitous; multi-IDE; agent mode.
  • Cursor: VS Code fork with deep AI; tabs through codebase; popular for greenfield.
  • Claude Code: Anthropic's CLI; agent that operates your terminal.
  • Codex CLI: OpenAI's terminal agent.
  • Cody (Sourcegraph): codebase-aware; enterprise.
  • Continue, Windsurf, JetBrains AI: alternatives.
  • Senior choice in 2026: Copilot for daily IDE, Claude Code / Codex CLI for agentic tasks.

GitHub Copilot

  • IDE: VS, VS Code, JetBrains, Neovim, Visual Studio.
  • Agent mode (2025): autonomous task completion in IDE.
  • Workspaces: chat with full repo context.
  • Models: GPT family, Claude (added 2025), various.

Strengths: ubiquitous; enterprise-friendly; Microsoft-aligned.

Cursor

  • VS Code fork with deeper AI integration.
  • "Cmd-K" inline edits; "Composer" multi-file.
  • Heavy file-aware completions.
  • Models: Claude, GPT, Gemini.

Strengths: feels native; great for greenfield. Cost: subscription.

Claude Code

  • Anthropic's CLI agent. Runs in terminal.
  • Reads/writes files; runs commands; iterative.
  • Best at large refactors, multi-file tasks.
  • Anthropic API + your code.

Use case: "Refactor this module to use the new auth pattern" — Claude Code does it across files.

Codex CLI (OpenAI)

  • Similar to Claude Code: terminal agent.
  • Built on o-series.
  • OpenAI ecosystem.

Cody (Sourcegraph)

  • Codebase-aware (entire repo indexed).
  • Enterprise; SSO; admin controls.
  • Strong for big monorepos.

Continue

  • Open-source IDE extension.
  • Bring your own model (any provider, including local).
  • Privacy-friendly.

Windsurf (Codeium)

  • Cursor-style with agent flows.
  • Free tier generous.

JetBrains AI

  • Native to JetBrains IDEs (Rider, IntelliJ, Pycharm).
  • Multiple model backends.

Comparison

Tool Strength Weakness
Copilot Universal; enterprise Less aggressive than Cursor
Cursor Best UX Cost; lock-in to fork
Claude Code Multi-file agent CLI only
Cody Big repos Setup
Continue Open / flexible Less polish
JetBrains AI Native to JetBrains Locked to those IDEs

Senior workflow patterns

Inline completions

For boilerplate, repetitive code, simple tests. Most tools good here.

Chat in editor

"Refactor this method", "Explain this regex". All tools.

Agent mode

For non-trivial tasks: "Add unit tests for this class", "Migrate this controller to Minimal API". Copilot agent, Cursor Composer, Claude Code.

CLI agent

For shell-driven tasks: "Find all TODO with date >2 yrs old; open issues". Claude Code, Codex CLI.

"Where do we handle the billing webhook?". Cody, Cursor, Copilot Workspaces.

Privacy

Tool Data sent?
Copilot Yes; enterprise has telemetry control
Cursor Yes; opt-out partial
Continue + local LLM No
Cody Enterprise Self-hosted option
JetBrains AI Yes; opt-out

For sensitive code: Continue + Ollama local, or Cody self-hosted.

Effectiveness

Senior devs report: - 20-50% productivity gain on routine code. - Less gain (or negative!) on novel design. - Major win for tests, docs, refactors. - Cost: distractibility; bad code accepted unreviewed.

Treat AI suggestions critically. Read the diff before accepting.

Coding agent best practices

  • Small, scoped tasks.
  • Clear instructions ("use repository pattern", "match existing style").
  • Review every diff.
  • Keep tests green as gate.
  • Feed back failures — let agent iterate.
  • Don't let agents touch security-critical code unsupervised.

.NET-specific

  • All major tools support .NET well in 2026.
  • Copilot has best Visual Studio + Razor + Blazor integration.
  • Claude has slight edge on complex C# refactors.
  • For Aspire / Razor / Blazor: Copilot or VS-aware tool.

Senior consideration

These tools change monthly. Subscribe to one, sample others quarterly. Don't pick based on hype; pick based on YOUR workflow's productivity gain.

Cross-references