Augment Code is an enterprise platform, not autocomplete
Augment Code is best framed as an enterprise AI coding platform rather than a developer autocomplete tool. Its pitch centers on a context engine for large codebases, agents that work from the right slice of repository context, shared team memory, and commercial data controls — paid plans exclude AI training on customer data. The flat Business plan at $100/month for up to 50 seats is a different buyer model from per-seat assistants, which can be cost-effective when utilization is high. That makes it a strong comparison target for Cursor Teams, Tabnine, Sourcegraph Cody, and GitHub Copilot Business.
GitHub Copilot wins on GitHub-native fit
GitHub Copilot is strongest when the team already lives in GitHub issues, pull requests, review comments, and mainstream editors. Its Free plan includes monthly completions, and paid Pro adds unmetered completions and next edit suggestions plus credit-drawing chat, agent, and cloud-agent work. The per-seat model gives predictable cost for completion-first coding. For teams whose main need is fast in-editor autocomplete and tight GitHub workflow integration, Copilot is the more direct fit than an enterprise context platform.
Decide by codebase size and buyer model
The practical decision is codebase size plus how you want to buy. Augment Code fits engineering organizations with large, multi-repo codebases that benefit from a context engine, shared team memory, and flat workspace pricing — especially when data-training exclusion matters for governance. GitHub Copilot fits GitHub-centered teams that want per-seat, completion-first coding with predictable cost. Small teams may find Augment's flat plan harder to compare with $20/user tools unless utilization is high, so model your seat count and usage before choosing. Re-check Augment pricing first — it has changed before.