Aishwarya Naresh Reganti

AI Evals: The Most Important Skill for AI Engineers

Mastering AI evaluations is identified as the most critical skill for AI engineers in 2026 to ensure that agents remain reliable in production environments. The article introduces …

Forward Deployed Engineering: Is It Worth the Hype?

Based on an analysis of over 1,000 job listings, this article debunks the hype and common misconceptions surrounding the "Forward Deployed Engineer" role in the AI industry. It pro…

Prompt Engineering to Graph Engineering: AI Shifts Explained For Beginners

This article explains the evolution of AI engineering practices, moving from prompt engineering to more advanced concepts like graph engineering. It argues that these new terms sho…

Is RAG Really Dead in 2026?

Rather than being obsolete, RAG has evolved from simple, single-query vector searches into more sophisticated "knowledge runtime systems" within enterprises. While larger context w…

Are "Agents Running My Entire Company..." Stories True?

This article examines the gap between viral claims that AI agents can run entire businesses and the practical reality of their current capabilities. The author provides guidance on…

Learning to Code in 2026 & Beyond

As AI tools like Cursor and Claude Code increasingly automate manual coding, the role of a developer is shifting from writing lines of code to overseeing architecture, logic, and s…

How to Build Your Operating System Using Codex, for Beginners

This article introduces a YouTube video tutorial designed to teach beginners how to build a modular "operating system" for automating workflows using Codex. The video demonstrates …

AI Engineering Simply Explained in Under 17 Mins

This article introduces a 17-minute YouTube video that explains AI engineering through a mind map rather than traditional, linear roadmaps. The author argues that connecting ideas …

The Ultimate Beginner's Guide to Any AI Agent (Including the Ones That Don't Exist Yet)

Instead of chasing every new AI tool release, the author advocates for a "systems thinking" approach based on first principles. By mastering the universal structure shared by all a…

How to Choose Your AI Agent Stack in 2026

As AI capabilities across models, retrieval systems, and tools reach feature parity in 2026, builders should prioritize "operational fit" and cost-efficiency over raw performance m…

The AI Agent Stack in 2026

The article describes how the AI agent landscape has evolved from a linear "stack" in 2025 to a more complex "operating system" model in 2026. This shift is driven by agents moving…

Problem Comes First: Why the Best AI Demos Don't Start With AI

This article argues that successful AI projects begin with identifying a *problem* first, rather than starting with the AI technology itself. The authors advocate for a "CC/CD loop…