# AlgoMaster Newsletter

Master Coding and System Design Interviews. Level up your Software Engineering career. Subscribe and get a FREE System Design Interview Handbook in your inbox.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## How Software Engineers Progress from Entry-Level to Senior Roles

DevFeed: [How Software Engineers Progress from Entry-Level to Senior Roles](<https://devfeed.tech/articles/how-engineers-really-get-promoted-to-senior-33566.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/how-engineers-really-get-promoted>)

Author: Ashish Pratap Singh

Published: 2026-09-10T12:17:04Z

Content type: opinion

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Software](<https://devfeed.tech/topics/software.md>), [Job](<https://devfeed.tech/topics/job.md>)

Tags: [article](<https://devfeed.tech/tags/article.md>), [career-growth](<https://devfeed.tech/tags/career-growth.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [guest-post](<https://devfeed.tech/tags/guest-post.md>), [software-engineer](<https://devfeed.tech/tags/software-engineer.md>), [strategies](<https://devfeed.tech/tags/strategies.md>)

### AI overview

A guest post explains how software engineers progress toward senior roles by taking on broader problems, more ambiguity, greater ownership, and larger impact. It outlines changing expectations from entry-level to mid-level engineering, including driving loosely defined work through design, implementation, testing, and delivery.

### Source excerpt

Growing Through the Levels

## How Load Balancers Actually Distribute Traffic

DevFeed: [How Load Balancers Actually Distribute Traffic](<https://devfeed.tech/articles/how-load-balancers-actually-distribute-traffic-33568.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/how-load-balancers-actually-distribute-traffic>)

Author: Ashish Pratap Singh

Published: 2026-09-09T12:17:03Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Load Balancing](<https://devfeed.tech/topics/load-balancing.md>), [load balancing algorithms](<https://devfeed.tech/topics/load-balancing-algorithms.md>), [systems](<https://devfeed.tech/topics/systems.md>), [Server](<https://devfeed.tech/topics/server.md>)

Tags: [capacity](<https://devfeed.tech/tags/capacity.md>), [load-balancing](<https://devfeed.tech/tags/load-balancing.md>), [load-balancing-algorithms](<https://devfeed.tech/tags/load-balancing-algorithms.md>), [nginx](<https://devfeed.tech/tags/nginx.md>), [server](<https://devfeed.tech/tags/server.md>)

### AI overview

This tutorial explains how load balancers distribute requests across multiple servers using algorithms such as round robin and weighted round robin. It describes their simplicity, health-check behavior, and limitations when servers differ in capacity or handle long-running requests.

### Source excerpt

When your application runs on multiple servers, you need a way to distribute incoming requests across them.

## 15 Common Software Design Patterns Explained with Java Examples

DevFeed: [15 Common Software Design Patterns Explained with Java Examples](<https://devfeed.tech/articles/every-important-design-pattern-explained-in-18-minutes-33565.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/every-important-design-pattern-explained>)

Author: Ashish Pratap Singh

Published: 2026-08-25T04:01:49Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Software Engineering](<https://devfeed.tech/topics/software-engineering.md>), [Java](<https://devfeed.tech/topics/java.md>), [Programming](<https://devfeed.tech/topics/programming.md>)

Tags: [article](<https://devfeed.tech/tags/article.md>), [code](<https://devfeed.tech/tags/code.md>), [design](<https://devfeed.tech/tags/design.md>), [design-patterns](<https://devfeed.tech/tags/design-patterns.md>), [java](<https://devfeed.tech/tags/java.md>), [programming](<https://devfeed.tech/tags/programming.md>), [software-design](<https://devfeed.tech/tags/software-design.md>)

### AI overview

This tutorial explains 15 commonly used software design patterns, covering their categories and practical use cases. It uses Java code examples and discusses patterns including Singleton, Builder, and Factory Method, along with cautions about global access and hidden dependencies.

### Source excerpt

In this article, I'll break down 15 of the most important design patterns I've come across in interviews and throughout my 9+ years as a Software Engineer.

## How to Learn Low-Level Design: A Roadmap for Study and Interviews

DevFeed: [How to Learn Low-Level Design: A Roadmap for Study and Interviews](<https://devfeed.tech/articles/how-to-learn-low-level-design-from-zero-in-2026-33570.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/how-to-learn-low-level-design-from-zero>)

Author: Ashish Pratap Singh

Published: 2026-08-09T10:46:58Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Software Engineering](<https://devfeed.tech/topics/software-engineering.md>), [Programming](<https://devfeed.tech/topics/programming.md>), [interfaces](<https://devfeed.tech/topics/interfaces.md>), [Polymorphism](<https://devfeed.tech/topics/polymorphism.md>)

Tags: [article](<https://devfeed.tech/tags/article.md>), [code](<https://devfeed.tech/tags/code.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [learn](<https://devfeed.tech/tags/learn.md>), [programming](<https://devfeed.tech/tags/programming.md>), [software-design](<https://devfeed.tech/tags/software-design.md>), [system-design](<https://devfeed.tech/tags/system-design.md>)

### AI overview

This tutorial presents a step-by-step roadmap for learning low-level design (LLD), including what to study, the order of topics, interview preparation, and linked learning resources. It explains how LLD differs from high-level system design and describes common interview formats such as object-oriented design, machine coding, and concurrency design.

### Source excerpt

In this article, I'll give you a complete step-by-step roadmap to learn Low-Level Design or LLD from scratch covering exactly what to learn, the right order to learn it, and how to prepare effectively for low level design interviews.

## The AlgoMaster Mobile App Is Here!

DevFeed: [The AlgoMaster Mobile App Is Here!](<https://devfeed.tech/articles/the-algomaster-mobile-app-is-here-33576.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/the-algomaster-mobile-app-is-here>)

Author: Ashish Pratap Singh

Published: 2026-07-21T11:45:22Z

Content type: release

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Mobile](<https://devfeed.tech/topics/mobile.md>), [Android](<https://devfeed.tech/topics/android.md>), [iOS](<https://devfeed.tech/topics/ios.md>), [App](<https://devfeed.tech/topics/app.md>)

Tags: [android](<https://devfeed.tech/tags/android.md>), [app](<https://devfeed.tech/tags/app.md>), [ios](<https://devfeed.tech/tags/ios.md>), [mobile](<https://devfeed.tech/tags/mobile.md>), [release](<https://devfeed.tech/tags/release.md>), [updates](<https://devfeed.tech/tags/updates.md>)

### AI overview

AlgoMaster has launched mobile apps for Android and iOS, giving users access to its courses, animations, interview-problem explanations, quizzes, exercises, listening mode, videos, and other learning resources. Existing users can sign in with the same email address used on AlgoMaster.io, and Premium access works across the website and both apps.

### Source excerpt

I'm excited to launch the AlgoMaster mobile app for both Android and iOS.

## Kafka vs RabbitMQ vs SQS

DevFeed: [Kafka vs RabbitMQ vs SQS](<https://devfeed.tech/articles/kafka-vs-rabbitmq-vs-sqs-33572.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/kafka-vs-rabbitmq-vs-sqs>)

Author: Ashish Pratap Singh

Published: 2026-07-02T03:31:11Z

Content type: comparison

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Amazon Simple Queue Service (SQS)](<https://devfeed.tech/topics/amazon-simple-queue-service-sqs.md>), [Kafka](<https://devfeed.tech/topics/kafka.md>), [RabbitMQ](<https://devfeed.tech/topics/rabbitmq.md>), [Messaging](<https://devfeed.tech/topics/messaging.md>), [Back end](<https://devfeed.tech/topics/backend.md>)

Tags: [backend](<https://devfeed.tech/tags/backend.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [messaging](<https://devfeed.tech/tags/messaging.md>), [queues](<https://devfeed.tech/tags/queues.md>), [rabbitmq](<https://devfeed.tech/tags/rabbitmq.md>), [sqs](<https://devfeed.tech/tags/sqs.md>)

### AI overview

This comparison examines Kafka, RabbitMQ, and Amazon SQS for asynchronous systems. It explains that Kafka uses an append-only log with consumer offsets and replay, RabbitMQ routes messages through exchanges and queues with acknowledgments, and SQS provides managed queue-based messaging that consumers poll.

### Source excerpt

Most backend systems eventually need one service to hand off work to another asynchronously.

## I Created 1000+ Interactive Animations for Interviews

DevFeed: [I Created 1000+ Interactive Animations for Interviews](<https://devfeed.tech/articles/i-created-1000-interactive-animations-for-interviews-33571.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/i-created-1000-interactive-animations>)

Author: Ashish Pratap Singh

Published: 2026-06-28T13:28:17Z

Content type: opinion

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Learning](<https://devfeed.tech/topics/learning.md>), [coding](<https://devfeed.tech/topics/coding.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>), [SQL](<https://devfeed.tech/topics/sql.md>)

Tags: [ai-ml](<https://devfeed.tech/tags/ai-ml.md>), [coding](<https://devfeed.tech/tags/coding.md>), [interactive](<https://devfeed.tech/tags/interactive.md>), [learning](<https://devfeed.tech/tags/learning.md>)

### AI overview

AlgoMaster.io now offers more than 1,000 interactive animations covering technical subjects such as data structures and algorithms, system design, AI/ML, and SQL. Many animations are free, while full access is available through a premium subscription.

### Source excerpt

DSA, System Design, AI, SQL and more

## How LLMs are Actually Trained

DevFeed: [How LLMs are Actually Trained](<https://devfeed.tech/articles/how-llms-are-actually-trained-33567.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/how-llms-are-actually-trained>)

Author: Ashish Pratap Singh

Published: 2026-06-11T04:50:19Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Training AI Models](<https://devfeed.tech/topics/training-ai-models.md>), [LLM Techniques](<https://devfeed.tech/topics/llm-techniques.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Language models](<https://devfeed.tech/topics/language-models.md>)

Tags: [dataset](<https://devfeed.tech/tags/dataset.md>), [llm](<https://devfeed.tech/tags/llm.md>), [llm-training](<https://devfeed.tech/tags/llm-training.md>), [llms](<https://devfeed.tech/tags/llms.md>), [models](<https://devfeed.tech/tags/models.md>), [training](<https://devfeed.tech/tags/training.md>), [training-data](<https://devfeed.tech/tags/training-data.md>)

### AI overview

This tutorial explains how large language models are trained in stages: pretraining, mid-training, and post-training. It describes pretraining datasets, next-token prediction, cross-entropy loss, and the creation and filtering of datasets such as Dolma 3 Mix.

### Source excerpt

In the last lesson, we learned how the Transformer architecture powers an LLM.

## An Amazon Bar Raiser's Guide to Cracking Tech Interviews

DevFeed: [An Amazon Bar Raiser's Guide to Cracking Tech Interviews](<https://devfeed.tech/articles/an-amazon-bar-raiser-s-guide-to-cracking-tech-interviews-33564.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/amazons-bar-raisers-guide-on-cracking-tech-interviews>)

Author: Ashish Pratap Singh

Published: 2026-06-04T12:06:04Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Job](<https://devfeed.tech/topics/job.md>), [Process](<https://devfeed.tech/topics/process.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [evaluation](<https://devfeed.tech/tags/evaluation.md>), [guide](<https://devfeed.tech/tags/guide.md>), [interview](<https://devfeed.tech/tags/interview.md>), [job](<https://devfeed.tech/tags/job.md>), [leadership](<https://devfeed.tech/tags/leadership.md>), [process](<https://devfeed.tech/tags/process.md>), [skills](<https://devfeed.tech/tags/skills.md>), [tech](<https://devfeed.tech/tags/tech.md>)

### AI overview

A guest post by an Amazon Senior Engineer and Bar Raiser explains how Amazon technical interviews are conducted and evaluated. It covers structured interviewing, detailed note-taking, follow-up questions, technical and behavioral competencies, problem-solving, communication, ownership, ambiguity, seniority, and Leadership Principles.

### Source excerpt

This is a guest post by Apurv Singh, a Senior Engineer and Bar Raiser at Amazon. Having conducted 200+ technical interviews, Apurv shares practical lessons and insights to help you prepare better and crack tech interviews.

## 20 Networking Concepts Explained in 15 Minutes

DevFeed: [20 Networking Concepts Explained in 15 Minutes](<https://devfeed.tech/articles/20-networking-concepts-explained-in-15-minutes-33561.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/20-networking-concepts-explained>)

Author: Ashish Pratap Singh

Published: 2026-06-02T05:28:43Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [networking](<https://devfeed.tech/topics/networking.md>), [Networks](<https://devfeed.tech/topics/networks.md>), [domain](<https://devfeed.tech/topics/domain.md>), [Internet](<https://devfeed.tech/topics/internet.md>), [browser](<https://devfeed.tech/topics/browser.md>), [HTTP](<https://devfeed.tech/topics/http.md>)

Tags: [browser](<https://devfeed.tech/tags/browser.md>), [concepts](<https://devfeed.tech/tags/concepts.md>), [dns](<https://devfeed.tech/tags/dns.md>), [domain](<https://devfeed.tech/tags/domain.md>), [http](<https://devfeed.tech/tags/http.md>), [https](<https://devfeed.tech/tags/https.md>), [ipv4](<https://devfeed.tech/tags/ipv4.md>), [ipv6](<https://devfeed.tech/tags/ipv6.md>), [mac-address](<https://devfeed.tech/tags/mac-address.md>), [network](<https://devfeed.tech/tags/network.md>), [networking](<https://devfeed.tech/tags/networking.md>), [postgresql](<https://devfeed.tech/tags/postgresql.md>), [recursive-resolver](<https://devfeed.tech/tags/recursive-resolver.md>), [redis](<https://devfeed.tech/tags/redis.md>), [ssh](<https://devfeed.tech/tags/ssh.md>), [wi-fi](<https://devfeed.tech/tags/wi-fi.md>)

### AI overview

A tutorial introducing core networking concepts, including IP addressing, DNS resolution, ports, MAC addresses, and ARP, with examples involving browsers, routers, servers, SSH, HTTP, PostgreSQL, and Redis.

### Source excerpt

Networking can feel overwhelming, but a small set of concepts carries most of the weight in interviews and real-world systems.

## A guide to Transformer architecture in modern language models

DevFeed: [A guide to Transformer architecture in modern language models](<https://devfeed.tech/articles/a-deep-dive-into-the-transformer-architecture-33578.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/transformer-architecture>)

Author: Ashish Pratap Singh

Published: 2026-05-14T04:15:11Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Transformer architecture](<https://devfeed.tech/topics/transformer-architecture.md>), [LLMs](<https://devfeed.tech/topics/llms.md>), [Transformer](<https://devfeed.tech/topics/transformer.md>)

Tags: [architecture-pattern](<https://devfeed.tech/tags/architecture-pattern.md>), [better](<https://devfeed.tech/tags/better.md>), [deep-dive](<https://devfeed.tech/tags/deep-dive.md>), [layer](<https://devfeed.tech/tags/layer.md>), [llms](<https://devfeed.tech/tags/llms.md>), [model](<https://devfeed.tech/tags/model.md>), [parallel](<https://devfeed.tech/tags/parallel.md>), [performance](<https://devfeed.tech/tags/performance.md>), [semantics](<https://devfeed.tech/tags/semantics.md>), [sequence](<https://devfeed.tech/tags/sequence.md>), [syntax](<https://devfeed.tech/tags/syntax.md>), [tokens](<https://devfeed.tech/tags/tokens.md>), [transformer-architecture](<https://devfeed.tech/tags/transformer-architecture.md>), [transformers](<https://devfeed.tech/tags/transformers.md>)

### AI overview

This tutorial explains the Transformer architecture, including its original encoder-decoder design for translation and the decoder-only variant used for modern language generation. It describes decoder components such as masked multi-head self-attention, feed-forward networks, layer normalization, and residual connections, and introduces the Pre-LayerNorm pattern.

### Source excerpt

A single 2017 research paper changed the future of AI forever and gave rise to multiple unicorn companies.

## Neural Networks Explained In Plain English

DevFeed: [Neural Networks Explained In Plain English](<https://devfeed.tech/articles/neural-networks-explained-in-plain-english-33575.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/neural-networks-explained-in-plain>)

Author: Ashish Pratap Singh

Published: 2026-04-21T04:01:25Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Neural Network](<https://devfeed.tech/topics/neural-network.md>), [AI Engineering](<https://devfeed.tech/topics/ai-engineering.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>)

Tags: [ai-engineering](<https://devfeed.tech/tags/ai-engineering.md>), [applications](<https://devfeed.tech/tags/applications.md>), [concepts](<https://devfeed.tech/tags/concepts.md>), [function](<https://devfeed.tech/tags/function.md>), [mlp](<https://devfeed.tech/tags/mlp.md>), [neural-networks](<https://devfeed.tech/tags/neural-networks.md>), [neuron](<https://devfeed.tech/tags/neuron.md>), [understand](<https://devfeed.tech/tags/understand.md>)

### AI overview

A plain-English introduction to neural networks. It explains neurons or perceptrons, activation functions, weights and biases, and how stacking neurons into dense layers creates a multilayer perceptron (MLP) architecture used in AI systems.

### Source excerpt

All popular AI systems that you see today are made up of basic computing units called Neurons or Perceptrons. These connect to form a network called a Neural network that performs various complex computations.

## Top 10 API Gateway Use Cases in System Design

DevFeed: [Top 10 API Gateway Use Cases in System Design](<https://devfeed.tech/articles/top-10-api-gateway-use-cases-in-system-design-33577.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/top-10-api-gateway-use-cases>)

Author: Ashish Pratap Singh

Published: 2026-04-12T12:00:32Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Amazon API Gateway](<https://devfeed.tech/topics/amazon-api-gateway.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Microservices](<https://devfeed.tech/topics/microservices.md>), [API](<https://devfeed.tech/topics/api.md>)

Tags: [api-gateway](<https://devfeed.tech/tags/api-gateway.md>), [microservices](<https://devfeed.tech/tags/microservices.md>), [monolith](<https://devfeed.tech/tags/monolith.md>), [system-design](<https://devfeed.tech/tags/system-design.md>), [use-cases](<https://devfeed.tech/tags/use-cases.md>)

### AI overview

An article about ten API gateway use cases in system design, particularly as systems evolve from monoliths to microservices. The supplied evidence does not detail the individual use cases.

### Source excerpt

As your system evolves from a monolith to microservices, a pattern quickly emerges: every service starts rebuilding the same things.

## How to build an autonomous AI agent like OpenClaw (from scratch)

DevFeed: [How to build an autonomous AI agent like OpenClaw (from scratch)](<https://devfeed.tech/articles/how-to-build-an-autonomous-ai-agent-like-openclaw-from-scratch-33569.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/how-to-build-an-autonomous-ai-agent-like-openclaw>)

Author: Ashish Pratap Singh

Published: 2026-04-07T04:20:00Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [OpenClaw](<https://devfeed.tech/topics/openclaw.md>), [Tutorial](<https://devfeed.tech/topics/tutorial.md>), [coding](<https://devfeed.tech/topics/coding.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Security](<https://devfeed.tech/topics/security.md>), [Tool](<https://devfeed.tech/topics/tool.md>)

Tags: [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [autonomous](<https://devfeed.tech/tags/autonomous.md>), [coding](<https://devfeed.tech/tags/coding.md>), [context](<https://devfeed.tech/tags/context.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [llm](<https://devfeed.tech/tags/llm.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [openclaw](<https://devfeed.tech/tags/openclaw.md>), [prompt](<https://devfeed.tech/tags/prompt.md>), [security](<https://devfeed.tech/tags/security.md>), [telegram](<https://devfeed.tech/tags/telegram.md>), [tools](<https://devfeed.tech/tags/tools.md>)

### AI overview

This tutorial explains how to build Tiny-OpenClaw, a simplified autonomous AI agent inspired by OpenClaw. It describes capabilities such as web browsing, form filling, persistent memory, Skills, and Telegram communication, while deliberately excluding full system access because of security risks.

### Source excerpt

This is a guest post by Dr.

## Launching comprehensive resources to master coding interviews

DevFeed: [Launching comprehensive resources to master coding interviews](<https://devfeed.tech/articles/launching-comprehensive-resources-to-master-coding-interviews-33573.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/launching-comprehensive-resources>)

Author: Ashish Pratap Singh

Published: 2026-04-05T13:30:09Z

Content type: release

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [coding](<https://devfeed.tech/topics/coding.md>), [LeetCode](<https://devfeed.tech/topics/leetcode.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [c-plus-plus](<https://devfeed.tech/tags/c-plus-plus.md>), [c-sharp](<https://devfeed.tech/tags/c-sharp.md>), [coding](<https://devfeed.tech/tags/coding.md>), [courses](<https://devfeed.tech/tags/courses.md>), [dsa](<https://devfeed.tech/tags/dsa.md>), [javascript](<https://devfeed.tech/tags/javascript.md>), [launch](<https://devfeed.tech/tags/launch.md>), [python](<https://devfeed.tech/tags/python.md>), [typescript](<https://devfeed.tech/tags/typescript.md>)

### AI overview

AlgoMaster launches a collection of resources for data structures and algorithms study and coding interview preparation, including a problem list, course, company-specific practice, animations, an AI-powered coding interview simulator, and an in-platform code editor and evaluation feature.

### Source excerpt

I'm excited to launch a comprehensive set of resources on algomaster.io to help you master DSA and prepare for coding interviews:

## Tech Stack I used to build my coding platform (algomaster.io)

DevFeed: [Tech Stack I used to build my coding platform (algomaster.io)](<https://devfeed.tech/articles/tech-stack-i-used-to-build-my-coding-platform-algomaster-io-33563.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/algomaster-tech-stack>)

Author: Ashish Pratap Singh

Published: 2026-03-22T05:01:59Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Development](<https://devfeed.tech/topics/development.md>), [Next.js](<https://devfeed.tech/topics/next-js.md>), [React](<https://devfeed.tech/topics/react.md>), [TypeScript](<https://devfeed.tech/topics/typescript.md>), [Supabase](<https://devfeed.tech/topics/supabase.md>), [web applications](<https://devfeed.tech/topics/web-applications.md>), [stripe](<https://devfeed.tech/topics/stripe.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [Vercel](<https://devfeed.tech/topics/vercel.md>), [Content Management System](<https://devfeed.tech/topics/cms.md>), [Authentication](<https://devfeed.tech/topics/authentication.md>), [Serverless](<https://devfeed.tech/topics/serverless.md>)

Tags: [authentication](<https://devfeed.tech/tags/authentication.md>), [browser](<https://devfeed.tech/tags/browser.md>), [cms](<https://devfeed.tech/tags/cms.md>), [coding](<https://devfeed.tech/tags/coding.md>), [frontend](<https://devfeed.tech/tags/frontend.md>), [full-stack](<https://devfeed.tech/tags/full-stack.md>), [next-js](<https://devfeed.tech/tags/next-js.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [openai](<https://devfeed.tech/tags/openai.md>), [payments](<https://devfeed.tech/tags/payments.md>), [react](<https://devfeed.tech/tags/react.md>), [tech-stack](<https://devfeed.tech/tags/tech-stack.md>)

### AI overview

The author explains the technology stack used to build AlgoMaster.io, an interactive software engineering interview preparation platform. The platform uses Next.js with React and TypeScript, Vercel, Supabase, Payload CMS, Stripe, and AI-related services including OpenAI, Whisper, and pgVector. The article also describes the platform's architecture and the author's rationale for choosing Next.js.

### Source excerpt

In September 2024, I started building AlgoMaster.io from scratch after quitting my job at Amazon.

## 300+ Engineering Articles to Level Up Your System Design Skills

DevFeed: [300+ Engineering Articles to Level Up Your System Design Skills](<https://devfeed.tech/articles/300-engineering-articles-to-level-up-your-system-design-skills-33562.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/300-engineering-articles-to-level-up-system-design>)

Author: Ashish Pratap Singh

Published: 2026-03-01T04:41:04Z

Content type: article

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [GitHub](<https://devfeed.tech/topics/github.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>)

Tags: [engineering](<https://devfeed.tech/tags/engineering.md>), [github](<https://devfeed.tech/tags/github.md>), [repository](<https://devfeed.tech/tags/repository.md>), [system-design](<https://devfeed.tech/tags/system-design.md>)

### AI overview

The article announces a GitHub repository containing more than 300 engineering articles curated from popular company engineering blogs over the past five to six years. The collection covers system design, architecture, AI/ML, search, data engineering, databases, performance, infrastructure, and security.

### Source excerpt

I'm excited to share a new GitHub repository where I've curated 300+ high-quality engineering articles, organized by top tech companies.

## 20 AI Concepts Explained in 20 Minutes

DevFeed: [20 AI Concepts Explained in 20 Minutes](<https://devfeed.tech/articles/20-ai-concepts-explained-in-20-minutes-33560.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/20-ai-concepts-explained-simply>)

Author: Ashish Pratap Singh

Published: 2026-02-26T13:22:58Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Learning](<https://devfeed.tech/topics/learning.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Neural Network](<https://devfeed.tech/topics/neural-network.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [concepts](<https://devfeed.tech/tags/concepts.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [learning](<https://devfeed.tech/tags/learning.md>), [neural-network](<https://devfeed.tech/tags/neural-network.md>)

### AI overview

A beginner-friendly tutorial introducing foundational AI concepts, including neural networks, large language models, and transfer learning, with simplified explanations and examples.

### Source excerpt

Learning AI can feel overwhelming.

## 12 OOP Concepts EVERY Developer Should Know

DevFeed: [12 OOP Concepts EVERY Developer Should Know](<https://devfeed.tech/articles/12-oop-concepts-every-developer-should-know-33559.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/12-oop-concepts-every-developer-should-know>)

Author: Ashish Pratap Singh

Published: 2026-02-12T04:27:26Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Object-oriented programming (OOP)](<https://devfeed.tech/topics/oop.md>), [Programming](<https://devfeed.tech/topics/programming.md>), [Code](<https://devfeed.tech/topics/code.md>), [interfaces](<https://devfeed.tech/topics/interfaces.md>), [Polymorphism](<https://devfeed.tech/topics/polymorphism.md>), [App](<https://devfeed.tech/topics/app.md>)

Tags: [class](<https://devfeed.tech/tags/class.md>), [classes](<https://devfeed.tech/tags/classes.md>), [code](<https://devfeed.tech/tags/code.md>), [concepts](<https://devfeed.tech/tags/concepts.md>), [developer](<https://devfeed.tech/tags/developer.md>), [interface](<https://devfeed.tech/tags/interface.md>), [interfaces](<https://devfeed.tech/tags/interfaces.md>), [object-oriented](<https://devfeed.tech/tags/object-oriented.md>), [oop](<https://devfeed.tech/tags/oop.md>), [practical](<https://devfeed.tech/tags/practical.md>), [programming](<https://devfeed.tech/tags/programming.md>), [real-world](<https://devfeed.tech/tags/real-world.md>)

### AI overview

An introductory tutorial on object-oriented programming explains how classes, objects, and interfaces organize state and behavior. It uses real-world examples such as users, orders, payments, and payment gateways, and notes that these concepts are relevant to low-level design interviews.

### Source excerpt

Key Object-Oriented Programming Concepts