GitHub
S12
HardPremiumDesign an AI Coding Copilot — Real-Time Inline Completion
Design the gray ghost-text suggestions an IDE shows as you type, for millions of developers, inside a 200 ms budget.
InferenceLatencyCost OptimizationDeveloper Tools
Key Requirements
- About 200 ms from a typing pause to ghost text on screen
- Context from the open file, its suffix and related project files, under a token cap
- Private code: retention terms, tenant-scoped caches, secret scans
- Personalize from the developer's own repository without per-user training
- Filter suggestions that reproduce public or other readers' code
Interviewer Follow-ups
- Q1How do you personalize completions per developer?
- Q2How do you handle the model suggesting copyrighted code?
- Q3How do you measure completion quality beyond acceptance rate?
- Q4When does self-hosting beat a per-token API here?
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