GitHub Copilot

GitHub Copilot transformed coding with AI-powered autocomplete, but at $19/month for Individual ($39/month for Business), the cost adds up across development teams. More critically, some organizations are uncomfortable sending their proprietary code to GitHub's servers for AI processing — especially when the code contains trade secrets, security-sensitive logic, or unreleased features.

Continue.dev is an open source AI coding assistant that works with VS Code and JetBrains IDEs. It connects to any LLM — local models via Ollama, cloud APIs like Anthropic Claude or OpenAI, or self-hosted inference servers — giving you Copilot-like autocomplete and chat without locking into a single AI provider. Tabby is a self-hosted AI coding assistant that runs entirely on your infrastructure, with fine-tuning capabilities so you can train it on your own codebase for more relevant suggestions.

Self-hosted AI coding assistants solve the data privacy concern entirely. Your code never leaves your network. For companies in defense, finance, healthcare, or any regulated industry, this is often a hard requirement rather than a preference. Tabby running on your own GPU server provides code completion trained on your specific codebase — potentially more relevant suggestions than a general-purpose model.

The quality gap depends on the model you choose. Continue.dev paired with Claude or GPT-4 provides comparable quality to Copilot. Tabby with smaller local models trades some suggestion quality for complete privacy and zero ongoing API costs. For many teams, the flexibility to choose and swap AI models is itself an advantage over Copilot's locked-in approach.