FAQ
Frequently asked questions
Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.
Can Tycoon's AI CTO replace Copilot for a solo founder?
For a solo non-developer founder, effectively yes — the AI CTO ships features, fixes bugs, and deploys without you opening an IDE. For a founder who codes, it's different: Copilot is a better in-editor experience because it's literally built into your keyboard. A common pattern is 'founder codes with Copilot for hands-on work, AI CTO handles the stuff founder doesn't want to touch — CI fixes, boilerplate, small features, deploys'. They're not mutually exclusive.
Does Tycoon have something like Copilot Workspace?
Directionally yes — the AI CTO takes an issue or spec, makes the plan, writes the code, opens the PR, and asks for your review. Copilot Workspace does this inside GitHub's own UI, with tight integration to issues and PRs. Tycoon does it via chat with your AI CTO, who writes to your repo via the GitHub connector. Copilot Workspace has a better GitHub-native experience if your team lives in GitHub issues. Tycoon has broader scope because the same AI CTO also handles ops, deployment, monitoring.
What does GitHub Copilot cost versus Tycoon?
Copilot is $10 per user per month for Individual, $19 for Business, and $39 for Enterprise — so a 10-engineer team is $190-$390 per month. Tycoon is usage-based, typically $50-$500 per month for the full AI team regardless of headcount. If you have 10 engineers, Copilot for them is cheaper than adding Tycoon. If you have zero engineers and need code to ship, Tycoon is cheaper than hiring one.
Is Tycoon's code quality comparable to Copilot?
For the kinds of tasks a founder asks for — CRUD features, small refactors, bug fixes, infra-as-code, API integrations — yes. The AI CTO uses modern frontier models (Claude 4.x family, GPT-class) with tool use, reads your repo, and produces working code with tests. For hyper-specialized work (kernel code, novel compiler work, deep performance optimization), neither Copilot nor Tycoon's AI CTO will match a senior engineer. Copilot might be slightly better at single-line completions because that's exactly what it's trained for; Tycoon is better at multi-step end-to-end feature work.
Should engineers use both?
Yes, commonly. Engineers keep Copilot in their IDE for personal velocity (completions, PR review). Tycoon's AI CTO handles parallel streams: CI pipeline fixes, writing deployment scripts, triaging issue queues, spinning up prototype repos, handling dependency updates. They work on different axes — Copilot amplifies a human; Tycoon does work without one.