# Thita.ai

> Thita.ai is a technical-interview preparation platform for software engineering, system design, low-level design, data science, AI/ML and product management roles. It combines live-voice AI mock interviews with structured feedback, an AI coach that teaches rather than tests, a DSA pattern library with 410 executable problems, system design and low-level design courses, company-wise interview kits, and a blog. Code executes in Python, C++, Java, JavaScript, Go and C#. Used by 24,000+ engineers. A free tier is available; paid subscriptions and a one-time lifetime option are on the pricing page.

## Practice
- [AI Mock Interviews](https://thita.ai/ai-interview): Live, adaptive mock interviews for DSA coding, system design, low-level design, data science, AI/ML, product management and behavioural rounds — the AI interviewer asks follow-ups, runs the code you write, and returns a written report after each session.
- [AI Coach](https://thita.ai/ai-coach): Conversational, 1:1 tutoring across the same learning paths, for explaining a topic rather than assessing it.
- [DSA Practice Sheet](https://thita.ai/dsa-patterns-sheet): Tracks progress through the DSA pattern library problem by problem.
- [Code Practice](https://thita.ai/code-practice): Solve individual coding problems with in-browser execution and AI feedback (see also https://thita.ai/problems).
- [Company-Wise Kits](https://thita.ai/company-wise-kit): Per-company interview signals and preparation kits across DSA, system design and low-level design; 160 companies have interview data and 111 have a full kit.

## Learn
- [DSA Patterns](https://thita.ai/dsa-patterns): 16 pattern families (100 subpatterns) covering the recurring techniques behind coding-interview problems: Two Pointers, Sliding Window, Binary Search Patterns, Array/Matrix Manipulation Patterns, Linked List Manipulation Patterns, Stack Patterns, String Manipulation Patterns, Tree Traversal Patterns (DFS & BFS), Heap (Priority Queue) Patterns, Greedy Patterns, Backtracking Patterns, Dynamic Programming (DP) Patterns, Graph Traversal Patterns (DFS & BFS), Bit Manipulation Patterns, Design Patterns, Segment Tree & Fenwick Tree Patterns.
- [System Design](https://thita.ai/system-design): 12 pattern families, 73 lessons and 26 worked case studies: Foundations, Networking & APIs, Databases, Caching, Queues & Async, Scalability, Coordination & Transactions, Search, Geo & Aggregation, Reliability & Operations, Security & Auth, AI Infrastructure, Real-World Architecture Studies.
- [Low-Level Design](https://thita.ai/low-level-design): 12 pattern families and 46 lessons on object-oriented design, SOLID and concurrency: OOP Foundations & Class Design, Strategy & Factory Patterns, State Pattern & State Machines, Observer, Decorator & Behavioral, Concurrency Patterns, Machine Coding & Interview Execution, Case Studies — Foundational, Case Studies — Applied, Advanced Case Studies, Domain-Specific Patterns, Machine Coding Mastery, Architecture Teardowns.

## Content
- [Blog](https://thita.ai/blog): Articles across the categories below, plus interview-process and career guides.
- [DSA Patterns](https://thita.ai/blog/dsa): Data structures and algorithms guides — patterns, techniques, and curated problems for coding interviews.
- [Interview Prep](https://thita.ai/blog/interview): Technical interview strategies, communication frameworks, and real-world preparation guides.
- [Resume](https://thita.ai/blog/resume): Resume writing, ATS optimization, and formatting guides for software engineers.
- [System Design](https://thita.ai/blog/system-design): Scalable architecture patterns, HLD/LLD frameworks, and system design interview guides.
- [Data Science](https://thita.ai/blog/data-science): Machine learning, analytics, and data science interview preparation resources.
- [Product Management](https://thita.ai/blog/pm): PM interview preparation — product sense, execution, metrics, and case study frameworks.
- [AI & LLMs](https://thita.ai/blog/ai): Artificial intelligence, LLM engineering, and production AI system deep dives.

## Pricing
- [Pricing](https://thita.ai/pricing): Free, Pro and Elite subscription tiers plus a one-time lifetime-access option; exact prices and current AI-credit allowances are listed on the page and vary by region.

## Access policy
- The blog and the first sub-pattern of each Interview-Soon pattern are publicly accessible.
- Remaining learning content requires a free account.
- Deep Dive content requires an Elite subscription or a lifetime/roadmap purchase.

## Optional
- [Sitemap](https://thita.ai/sitemap.xml)
- [Resume Analyzer](https://thita.ai/resume-analyzer): AI feedback on a resume against target roles.