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A complete computer science study plan to become a software engineer.
This repository page has enough original analysis, source evidence, and comparison context to be treated as an indexable Git-Stars review.
90
review score
Problem solved
It solves the problem of knowing what to study for coding interviews, especially for those without a CS degree. It provides a structured, prioritized list of topics and resources, reducing the overwhelm of scattered information. It fits into a self-study workflow as a comprehensive syllabus, guiding daily study and practice.
Deployment reality
The available setup signal starts with: There is no installation; it's a GitHub repository with a README and translations. To use it, clone or bookmark the repo and follow the study plan. The README provides a 'How to use it' section, but the core is the checklist of topics and linked resources.. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is CC-BY-SA-4.0. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
The repository's capability is its breadth and organization: it covers a wide range of CS topics from Big-O to system design, with links to high-quality external resources. Its strength is the community's validation (hundreds of thousands of stars) and the author's personal success story. Limitations include the lack of original content—it's a curated list, not a course—and the potential for outdated links or resources. It also assumes a baseline of coding experience and requires significant time commitment.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
jwasham/coding-interview-university is tracked as a multi-language project in the Data Tool area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 359k total stars, with +89 today, +639 this week, and +2.3k this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Inactive; the latest push was 412 days ago, and the open issue queue is 124, about 0.03% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 85k forks and 359k watchers suggest how often the project is reused or followed. License signal: CC-BY-SA-4.0. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need teams that prefer mature projects with broad adoption signals. Be cautious when you require frequent releases or active maintenance.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 2.3k. Follow the original GitHub repository for final install, security, and release information.
Analysis
ReadyOriginal problem, capability, and verdict guidance are available.
Sources
ReadyRepository metadata and README/source references are attached.
License
ReadyCC-BY-SA-4.0 is recorded for review.
Maintenance
LimitedRecent maintenance signal is weak or unavailable.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
359k Stars
Reuse
85k Forks
Attention
359k Watchers
Maintenance
inactive
License
CC-BY-SA-4.0
Open issues
124
A multi-month study plan for becoming a software engineer at a large company like Amazon, Facebook, Google, or Microsoft. It covers essential computer science topics and interview preparation.
Key Features
- Comprehensive study plan covering data structures, algorithms, and system design. - Includes resources like books, videos, and coding practice. - Provides tips for resume, job search, and interview process.
Data Tool
Databases, data pipelines, ETL, analytics, and vector search
There is no installation; it's a GitHub repository with a README and translations. To use it, clone or bookmark the repo and follow the study plan. The README provides a 'How to use it' section, but the core is the checklist of topics and linked resources.50
Health Score
Inactive
Commit Activity
Jun 6, 2016
Created
Aug 28, 2025
Last push
Star history will appear after daily syncs accumulate data.
Forks
Open
Watchers
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License
✓
Forked
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Maintained