Building projects in the AI era for Software Engineers

Himanshu Singh· Sep 13, 2026 · 8:04 PM UTC ·4 min read · 0 reactions · 0 comments · 9 views

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Software engineer Himanshu Singh shares his experience building two projects entirely using AI tools without manually writing code. He emphasizes the importance of asking detailed questions and verifying code quality to ensure best practices and security are met. Additionally, he recommends using visual references for UI improvements and starting fresh sessions to prevent AI hallucinations.

Key facts

▪Himanshu Singh built agentfriendlycode.com and usetu.la using LLMs without typing code by hand.
▪He advises asking extensive questions about problem statements, user flows, and architecture before implementation.
▪Before committing, he instructs the AI to verify best practices, data security, and code consistency across the codebase.
▪Providing visual references or screenshots of UI issues helps the AI generate better output within fewer iterations.
▪Starting a new session is an effective strategy to reset the AI when responses begin to degrade or hallucinate.

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Original publisher	Medium
Canonical URL	https://hsnice16.medium.com/building-projects-in-the-ai-era-for-software-engineers-72f3ddcd2a40
Publication time	Sun, 13 Sep 2026 20:04:06 +0000
Retrieval time	2026-09-13T20:21:51.492Z
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Opening excerpt (first ~120 words) tap to expand

Vibe CodingCodingSoftware DevelopmentSoftware EngineeringBuilding projects in the AI era for Software EngineersHimanshu Singh4 min read·Just now--ListenSharePress enter or click to view image in full sizeHello everyone 👋, I am Himanshu Singh.If you are reading my blog for the first time, let me introduce myself.I am a Full-stack Software Engineer leaning towards the frontend. I have been pushing code to production since 2022, mainly in the Web3 space. I have worked on a crypto wallet extension, a perpetual DApp, and an automated market maker (if you know all these terms :’))Let’s begin our blog!What this blog is aboutRecently, we’ve all been witnessing advancements in LLM tools, especially in the quality of the code they generate.

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