Technical articles by Samyak Jain on software engineering, systems, AI tooling, product thinking, and building indie software as Samyaq.
Technical archive
Blog posts are the practical side of the archive: technical tutorials, indie SaaS thinking, AI workflow notes, dev-tool patterns, and build-in-public essays with metadata that is easy to maintain in MDX.
Tags, reading time, SEO metadata, featured posts, optional thumbnails, and related links are handled in frontmatter.
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Explore the physical realities shaping software performance, from latency, memory access, caching, and queues to coordination overhead, distributed systems, bandwidth limits, and the cost of moving information.
Learn how Big-O notation helps programmers reason about scalability, growth, and algorithm efficiency. Understand O(1), O(log n), O(n), O(n log n), O(n²), recursion, loops, and real-world performance tradeoffs.
Learn why binary search scales so well, where O(log n) comes from, why sorted data matters, common implementation mistakes, and how binary search is used beyond arrays.
Learn why arrays and linked lists were invented, how memory layout affects performance, why cache locality matters, and how real systems choose data structures based on access patterns.
Learn how stack and heap memory actually work, including stack frames, recursion, dynamic allocation, ownership, memory leaks, dangling pointers, fragmentation, garbage collection, debugging, and performance tradeoffs.
Explore how CI/CD actually works beneath modern software delivery, from automated testing, builds, deployments, and rollback systems to infrastructure coordination, cloud environments, and continuous deployment pipelines.
Explore how APIs actually work beneath modern software systems, from request-response architecture and stateless communication to distributed services, retries, observability, cloud infrastructure, and machine-to-machine coordination.
Learn how databases organize, query, replicate, and coordinate information behind modern applications and why almost every internet service depends on fast, reliable data systems.
A step-by-step look at what happens when you open a website, from DNS lookups and servers to rendering, APIs, JavaScript, and databases.
Explore how packets travel across routers, cables, DNS systems, servers, and global network infrastructure to move information across the internet in milliseconds.
A systems-level explanation of compilers, interpreters, runtimes, machine code, and the abstraction layers between human intent and machine execution.
Learn how operating systems quietly coordinate processes, memory, filesystems, scheduling, hardware access, and isolation beneath every modern application.
A systems-level look at how caches, RAM, virtual memory, and data movement shape the behavior and performance of modern computing.
Learn how CPUs execute code through instruction cycles, caches, pipelines, registers, and memory coordination beneath modern software systems.
Learn what pointers actually are, why they exist, how memory addresses work, and how pointers enable dynamic memory, arrays, function arguments, data structures, and modern software systems.
Learn why some programs stay fast while others slow dramatically as data grows. Understand complexity, scaling, bottlenecks, memory access, I/O, and algorithmic efficiency.
Explore the power of Python and Tkinter in this versatile GUI application, integrating features like software launching, task tracking, messaging, camera functionalities, AWS integration, and more.
This short blog aims to provide a step-by-step guide for effortlessly incorporating MongoDB Atlas into a Next.js project already utilizing Prisma.
This comprehensive blog covers the process of containerizing and running a Python application using Docker, with detailed steps and explanations.
Explore how Git actually works beneath modern software development, from commits, repositories, branches, and merges to distributed version control, collaboration, and reproducible project history.
This blog covers a broad range of topics relevant to Linux users and administrators, providing a comprehensive overview of various Linux commands and concepts related to text editing, user account management, system utilities, processes, jobs, system monitoring, maintenance, and more.
Logging helps developers to understand the behavior of their applications, troubleshoot issues, and monitor performance. Python provides a built-in logging module that simplifies the process of logging messages from your application. In this blog post, we will cover the fundamentals of logging in Python.
Learn how Linux actually works beneath the terminal, from the kernel and shell to filesystems, pipes, permissions, processes, SSH, and the UNIX philosophy that shaped modern systems.
This blog provides an insightful knowledge of the Command Line Interface (CLI) and its significance in the world of computing. It emphasizes how the CLI empowers users to automate tasks, configure systems, and efficiently manage resources for improved computer experiences.