"It's judgment," Saha says, defining the core of his teaching philosophy. "Understanding tradeoffs, reading unfamiliar systems, diagnosing failures, and making changes that don't break everything else."

That belief sits at the center of Sumit Saha's work. Operating from Dhaka, Bangladesh, he has built Learn with Sumit into a massive developer ecosystem. With over 177,000 subscribers and alumni working across the tech sector, the platform has evolved from a channel into a primary training ground for the region's digital workforce. Alongside it, he publishes advanced engineering content in English through logicBase Labs and writes technical handbooks for freeCodeCamp, one of the world's largest coding publishers serving over 12 million users.
 

The Rising "Judgment Gap"

Saha points to alarming industry data to validate his curriculum. He frequently cites reports like Veracode's security analysis - which found that 45% of AI-generated code samples failed security checks - as proof that "human-in-the-loop" validation is no longer optional.

"The question I keep hearing is: 'If AI can do it, why should I learn it?'" Saha says. "But if you can't evaluate the output, you don't actually have a skill - you have a dependency".

In Saha's view, AI widens a "judgment gap" in the industry. Developers who understand fundamentals - how execution works, how data flows, and how concurrency behaves-use AI as leverage. Those who lack that mental model end up shipping code they cannot maintain or, worse, code that introduces silent vulnerabilities.

A Legacy of Architectural Rigor

Saha's insistence on architectural rigor isn't theoretical; it is drawn from a 17-year career of high-stakes engineering and entrepreneurship. Long before he became a public educator, Saha was pioneering technology-driven transformation as the Co-founder of Analyzen, one of Bangladesh's first and largest digital innovation firms.

Under his technical leadership, Analyzen expanded into Singapore and Myanmar, architecting platforms that enabled major regional brands to adopt data-driven marketing at scale. This phase of his career was marked by a milestone that remains a point of reference in the region's tech history: in 2019, Saha's team earned three separate Champion titles in a single year at the BASIS National ICT Awards.

The products he architected - including microzeⁿ, a nationally deployed microfinance platform, and AI-powered systems like listenyzeⁿ and commzeⁿ - were all selected to represent his country at the APICTA Awards, often called the "ICT Oscars" of the Asia-Pacific. He argues that the deep systems thinking required to build such national-scale infrastructure is exactly what "prompt-first" education often strips away from junior developers.

Teaching "How it Works," Not Just "What to Type"

This background is why his teaching looks less like "watch me build a clone app" and more like a masterclass in architectural reasoning. A scan of his recent work confirms this pattern. His recent handbook on Git workflows for freeCodeCamp is not a list of commands; it is a deep dive into the underlying mechanics of version control. His masterclasses on Next.js Caching & Streaming, MCP Servers, JavaScript Execution Context, and Server Actions have been widely praised by developers around the world. The reviews, comments, and community discussions across various platforms reflect the depth of engineering insight he brings to each session. In an era increasingly shaped by AI-assisted coding, this level of conceptual clarity and technical depth has proven especially valuable for modern developers.

Similarly, his analysis of JavaScript execution context tackles a topic beginners often avoid until it causes a production failure. By breaking down how runtimes actually behave, Saha prepares developers to reason under uncertainty - a skill that AI cannot yet replicate.

His influence has led to significant peer recognition, including being appointed as a Featured Judge for the NASA Space Apps Challenge, where he evaluates global problem-solving and innovation for a competition run by a U.S. government agency. Whether speaking at WordCamp or authoring courses on parity with professional engineering grades, his goal remains the same: elevating the standard of the global developer community.

Bridging the Gap for US Developers

The stakes are high, particularly in the United States. As Saha expands his focus to a global audience through his U.S.-based entity, logicBase LLC, he sees a specific challenge in the American market. While the U.S. Bureau of Labor Statistics projects a 15% growth in software roles over the next decade, the industry faces an urgent shortage of skilled professionals who can navigate the complexities of AI-integrated development.

Saha's new English-language initiatives aim to address this "skills gap" by training developers to treat AI as a lever for engineering, not a replacement for it. Through logicBase LLC, he is developing curricula designed to serve U.S. institutions and businesses, ensuring that the next generation of American developers maintains the "human-in-the-loop" discipline required for secure and scalable systems.

The Scarcest Skill in the AI Era

If there is a single thesis behind Saha's work, it is that AI should reduce busywork, not replace comprehension. He encourages learners to use AI for drafts and scaffolding - but then to do what working engineers do: run tests, read logs, and verify edge cases.

In a world where AI can generate code on demand, Saha is betting that the scarcest skill won't be syntax. It will be judgment - the ability to decide what is correct, safe, and maintainable. And if he is right, the developers who thrive won't be the ones who prompt the fastest. They'll be the ones who can still think.