didilili/mianstack
The MianStack README describes an open-source Chinese-language programmer interview question bank.
Source-based brief · Editor review not recorded · See checks and limits ↓
One primary source; other links are context, not independent corroboration.
- Primary sourceGitHub
The GitHub source is linked. Lifetime stars are context, not measured recent momentum, code quality, security, or independent verification.
Open full article view →- Original repository+40
- Feed text or abstract+15
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- Original non-discussion link+5
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View full scoring →Read the scoring rubric →What the source says
The MianStack README describes an open-source Chinese-language programmer interview question bank. It says the repository holds 8,300+ interview questions and 350+ public question collections, organized into eight knowledge directions, with answers drawn from official docs, technical articles, and project implementations. It lists features including real interview experience (面经) collections, company-specific pages, 20 open-source project breakdowns, and an MIT license for the author's own material. Third-party content keeps its original attribution.
Claim explorer
Attribution, source and conditionsSource-stated points from the stored brief. Claim-level assessments have not been recorded.
Source claims not independently checked; the figures and quality claims come from the project's own README.
This connects a source, an attributed statement and its qualifications. It does not establish that the claim is correct.
Questions worth asking
Open questions for further reportingWhat remains unconfirmed?
Source claims not independently checked; the figures and quality claims come from the project's own README.
What material was available for this brief?
The recorded brief basis is repository README. These points are AINewsIQ paraphrases, not quotations or independent confirmations.
The repository contains 8,300+ interview questions and 350+ public question collections, per the README.
Source: GitHub ↗Stored source-based brief · key point 1 · AINewsIQ paraphraseQuestions are organized into eight directions, including LLM basics, RAG, Agent systems, and software engineering fundamentals.
Source: GitHub ↗Stored source-based brief · key point 2 · AINewsIQ paraphraseThe README says content is under MIT License, while third-party interview experiences and collections keep their original attribution.
Source: GitHub ↗Stored source-based brief · key point 3 · AINewsIQ paraphraseLimits from the stored brief
Source claims not independently checked; the figures and quality claims come from the project's own README.
This is a source-based abstract, not independent validation of the source's claims.
Evidence & sources
These links show where the signal came from and what the source page linked to. A linked page is context, not independent corroboration.
The GitHub source is linked. Lifetime stars are context, not measured recent momentum, code quality, security, or independent verification.
Timeline & updates
- Signal dated by source or discovery feed
This timestamp places the signal in the radar. It may be the discovery post date rather than the primary page's first publication date.
- Shared brief stored
AINewsIQ prepared one abstract from repository README.
Brief history · 1 retained version
These are changes to AINewsIQ’s own publication. Earlier history is unavailable unless recorded here. Complete retained versions are available to the editor.
- Version 1 · published
Source-based brief stored or updated. This does not establish that the publisher changed its page.
Automated record
New engagement snapshots do not mean the source itself changed. Source observations and AINewsIQ brief revisions are separate records.
Why this may matter
It is a large, free, open resource for technical interview preparation, especially for AI and Agent topics, and it documents its sourcing and licensing rules.
Limits and open questions
Source claims not independently checked; the figures and quality claims come from the project's own README.
Organization-specific financial, security, and operational effects require the organization's own context and review.
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