Awesome Engineering Articles: Engineering Blog Reading List
/awesome-engineering-articles
awesome-engineering-articles earns its bookmark spot because it solves the discovery problem: finding high-signal engineering content without algorithmic noise. Every link comes from an engineering blog, guaranteeing real context and solutions, though you read raw links without excerpts, so expect to open several articles before finding one that matches your question, but it's worth it when you need to see real teams trade off competing constraints.
What is Awesome Engineering Articles?
Awesome Engineering Articles is a curated reading list pulling together 300+ engineering blog posts from 40 top tech companies into one organized file. Each entry links directly to the company's engineering blog with a title, topic tags, and publication year. The list covers real engineering problems — database sharding, ML infrastructure, search ranking, cost optimization — solved by teams actually running those systems at scale.
What companies and topics are covered
- ✓40 tech companies covered, including Airbnb, Meta, Uber, Stripe, and Netflix
- ✓Over 300 articles tagged by topic (AI/ML, databases, search, performance) and year
- ✓Links point directly to company engineering blogs, not third-party aggregators
- ✓Companies listed alphabetically for quick lookup by familiar name
- ✓Mix of recent posts (2024–2025) and established deep dives from prior years
- ✓MIT licensed and open to contributions via GitHub
How engineers use this collection
- •System design interview prep — browse how companies actually solved distributed systems problems before your next round
- •Researching a specific problem domain — look up database scaling articles across multiple companies to compare approaches
- •Staying current with engineering practices — scan recent posts to see what Meta or DoorDash is publishing
- •Understanding trade-offs in production systems — read how Stripe handles payments or how Discord stores trillions of messages
- •Finding primary sources for a technical deep-dive — every link is a company's official engineering blog, not a summary or opinion piece
Strengths
- ✓Covers 40 companies in one place — no need to track down each engineering blog individually
- ✓Tags and year metadata let you filter for recent work or focus on a specific topic area
- ✓All links are original source material from company engineering blogs, not secondhand summaries
- ✓Free to read with no paywall, registration, or algorithmic ranking to navigate
What this resource does not provide
- △No summaries, excerpts, or quality indicators — you open a link to find out if it's relevant
- △Organized by company, not by topic — searching for articles about caching means scanning entries across all 40 companies or using browser find
- △No built-in search or filtering beyond a table of contents organized alphabetically
- △The curation is a snapshot — articles stay on the list once added, with no date-based signal for recency
- △All entry-level content; doesn't provide context or explanations for why an approach worked
Other ways to follow engineering blogs
Frequently asked questions
Awesome Engineering Articles lists 40 tech companies including Airbnb, Amazon Science, Atlassian, Coinbase, Discord, DoorDash, Dropbox, eBay, Meta, Netflix, Stripe, Uber, and more. The full table of contents in the README names every company covered.
Yes. Every article in Awesome Engineering Articles is a link to the company's public engineering blog. Reading is free and requires no account. The collection itself is MIT licensed.
The README does not specify an update cadence. New articles appear to be added as contributors submit them. The repository accepts issues and pull requests, so timing depends on community contributions.
Articles span AI and ML infrastructure, database scaling, search and recommendation systems, performance optimization, data engineering, cost optimization, messaging systems, and security. Each entry is tagged with its primary topic area.
The repository is open to contributions. You can open an issue to suggest a company or article, or submit a pull request adding a new entry following the existing format.
The README opens with a table of contents listing all 40 companies alphabetically. Clicking a company name jumps to its section. Each company section lists its articles with titles, topic tags, and publication years. There is no full-text search — use browser find if searching across the whole file.
Who should try it — and who should skip
Bookmark this if you're prepping for system design interviews, working on a distributed systems problem and want to see how large companies approached it, or just want a reliable way to find engineering blog content without digging through individual company sites. Skip it if you need structured learning paths, summaries, or articles on niche topics outside what these 40 companies happen to publish.
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