AI Tools

Comparison for Developers

Lecture 8

Choosing the right AI assistant for each development task

Categories of AI Development Tools

Chat-Based

Conversational interfaces for reasoning, planning, and code generation

Examples: Claude, ChatGPT

IDE-Integrated

AI built into your editor with codebase awareness

Examples: Cursor, Windsurf

Inline Completions

Real-time suggestions as you type code

Examples: Copilot, Codeium

Best practice: Use different tools for different phases of AIDD workflow.

Claude (Anthropic)

Strengths

  • Superior reasoning and analysis
  • Large context window (200K tokens)
  • Excellent at explaining code
  • Strong at complex problem decomposition
  • Claude Code: terminal & file access

Best For (AIDD)

  • Discover: Requirements analysis
  • Plan: Task decomposition
  • Review: Code review & security
  • Execute: Complex implementations
Model tip: Claude 4.5 Sonnet for most tasks; Opus for complex reasoning.

GitHub Copilot

Strengths

  • Deep IDE integration
  • Fast inline completions
  • Context from open files
  • Good at patterns and boilerplate
  • Copilot Chat for explanations

Best For (AIDD)

  • Execute: Quick implementations
  • Commit: Commit message generation
  • Boilerplate and repetitive code
  • Test scaffolding
Limitation: Limited context awareness; doesn't read your whole codebase.

Cursor IDE

Strengths

  • Full codebase indexing
  • @-mentions for context (files, docs)
  • Multi-file editing with Composer
  • Built-in terminal integration
  • Supports multiple AI models

Best For (AIDD)

  • Discover: Codebase exploration
  • Execute: Multi-file changes
  • Review: Code analysis
  • Refactoring across files
Tip: Use @codebase to let AI search your entire project.

Windsurf (Codeium)

Strengths

  • Cascade multi-file agent mode
  • Automatic context detection
  • Free tier available
  • VS Code-based interface
  • Good at large refactoring tasks

Best For (AIDD)

  • Execute: Large-scale changes
  • Refactoring sprints
  • Migration tasks
  • Exploring unfamiliar codebases

ChatGPT (OpenAI)

Strengths

  • Broad general knowledge
  • Good at explanations
  • Custom GPTs for specific tasks
  • Canvas for collaborative editing
  • Wide ecosystem of plugins

Best For (AIDD)

  • Discover: Research & learning
  • Documentation generation
  • Quick prototypes
  • Brainstorming solutions
Model tip: GPT-4o for speed, o1 models for complex reasoning.

Tool Comparison by AIDD Phase

PhaseBest ToolWhy
DiscoverClaude / ChatGPTStrong reasoning for requirements
PlanClaude / CursorTask decomposition, codebase awareness
ReviewClaude CodeDeep code analysis, security scanning
ExecuteCursor / Claude CodeMulti-file edits, TDD support
CommitCopilotFast commit messages
TestClaude / CopilotTest generation, E2E scripts

Pricing Overview (2026)

ToolFree TierPaid
ClaudeLimited (claude.ai)$20/mo Pro, API usage
GitHub CopilotStudents, OSS$10-19/mo
CursorLimited requests$20/mo Pro
WindsurfYes (generous)$15/mo Pro
ChatGPTGPT-4o limited$20/mo Plus
CodeiumYes (unlimited)$12/mo Teams
Recommendation: Start with free tiers, upgrade when you hit limits.

How to Choose Your Stack

Beginner Stack

Cursor (IDE) + Claude (reasoning)

All-in-one IDE with powerful AI model access

Pro Stack

VS Code + Copilot + Claude Code

Familiar IDE, inline completions, terminal agent

Budget Stack

Windsurf + ChatGPT Free

Powerful features on free tiers

Enterprise Stack

GitHub Copilot Enterprise + Amazon Q

Compliance, security, enterprise support

Key Takeaways

Right Tool

Different tools for different phases

Combine

Use multiple tools together

Context

Codebase-aware tools for large projects

Experiment

Try free tiers before committing

Questions?

AI Tools Comparison

Next: Building AI Agents

Slide Overview