perixtar/2025-Tech-OA-by-FastPrep
2025 Tech OA By FastPrep
This project is a technical interview question bank and coding interview study guide. It serves as a company-specific assessment aggregator that organizes curated collections of algorithmic problems and solutions by company and role.
The study guide is built as a static site that pre-renders markdown data files into HTML pages. It features a client-side search engine that enables instant filtering of interview questions directly in the browser without server requests.
The system manages a broad set of capabilities for technical interview preparation, including the aggregation of company assessments and the maintenance of a searchable directory of coding and system design problems.
Features
- Interview Question Banks - Maintains a curated collection of algorithmic problems and solutions used to evaluate engineering proficiency.
- Markdown-Based Content Storage - Stores company assessments and interview questions as structured Markdown flat files for versioning and retrieval.
- Static Site Generation - Pre-renders documentation files into static HTML pages to ensure fast load speeds and high availability.
- Static Site Generators - Compiles markdown data files and templates into a standalone set of static HTML pages.
- Coding Interview Preparation - Provides programming challenges and study materials designed to prepare developers for technical interviews.
- Company-Specific Materials - Aggregates tailored study resources and question banks based on the specific hiring processes of various tech companies.
- Markdown-Based Guides - Stores interview problems and solutions as flat markdown files for simple versioning and retrieval.
- Technical Interview Preparation - Offers structured study materials and practice challenges for preparing for technical interviews and hiring assessments.
- Interview Guides - Builds a fast, searchable directory of interview questions using static site generation and markdown files.
- Client-Side Search Engines - Implements a browser-based indexing system for instant filtering of interview questions without server requests.
