AI — Artificial Intelligence
AI tools, Copilot models, and intelligent assistants applied to programming and industrial automation.
Available Copilot Models (2026)
GitHub Copilot integrates multiple AI models that can be selected depending on the task. Below are the models currently available on the market and their main features.
Agent
Claude Opus 4.6
Anthropic- Type: Autonomous agent
- Context: 200K tokens
- Strengths: Deep reasoning, complex multi-step tasks, advanced code generation and refactoring
- Ideal for: Large projects, migrations, complex debugging
Agent
Claude Sonnet 4
Anthropic- Type: Balanced agent
- Context: 200K tokens
- Strengths: Perfect balance between speed and quality, excellent at code
- Ideal for: Daily development, code review, documentation
Multimodal
GPT-4o
OpenAI- Type: Multimodal (text, image, audio)
- Context: 128K tokens
- Strengths: Versatility, visual understanding, response speed
- Ideal for: Varied tasks, diagram analysis, rapid prototyping
Reasoning
o3
OpenAI- Type: Advanced reasoning
- Context: 200K tokens
- Strengths: Chain-of-thought, complex problem solving, math and logic
- Ideal for: Complex algorithms, optimization, deep analysis
Multimodal
Gemini 2.5 Pro
Google- Type: Multimodal with reasoning
- Context: 1M tokens
- Strengths: Massive context, extensive code comprehension, Google integration
- Ideal for: Very large projects, complete repository analysis
Fast
Claude Haiku 3.5
Anthropic- Type: Ultra-fast
- Context: 200K tokens
- Strengths: Extreme speed, low cost, instant responses
- Ideal for: Autocompletion, inline suggestions, simple tasks
Articles on AI
- The Evolution of Copilots: From Autocompletion to Autonomous Agents
- Bubble Sort Algorithm — Generated by AI
- Minesweeper Programmed with Artificial Intelligence
- Minesweeper 2: The AI Strikes Back
- The Knapsack Problem: Applied in Industry
- Little SCADA: Creating a Control Interface with Python and ChatGPT