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AI: Find your way

A software engineer argues that the rise of large language models has shifted software engineering's bottleneck from writing code to deciding what to build and how to integrate systems reliably. The engineer contends that senior engineers remain more valuable than ever, since skills in architecture, production reliability, and large-scale operations are amplified rather than replaced by AI assistants such as Claude, particularly in precision-critical fields like banking and fintech.

by read1 min views2 publishedSep 10, 2026

Software engineering has entered a new phase — and it’s no exaggeration to say the community is on fire. The rise of LLMs has dramatically increased productivity and unlocked possibilities that, until recently, felt out of reach. The emergence of highly scalable products built by extremely lean teams — even a single founder powered by AI — makes it clear: this isn’t a passing trend, it’s a structural shift in how software is designed and delivered.

Tools like Claude and other AI assistants have fundamentally changed the act of programming. Writing code is no longer the primary bottleneck. The real edge now lies in knowing what to build, how to structure it, and how to integrate complex systems in a resilient way. In this context, it’s natural for senior engineers to question their place — but that uncertainty often comes from an incomplete view of what’s actually happening.

In practice, experienced professionals are more valuable than ever. The ability to connect dots, design sustainable architectures, ensure production reliability, and operate systems at global scale hasn’t been replaced — it’s been amplified. In industries like banking and fintech, where precision and robustness are non-negotiable, AI doesn’t replace senior engineers — it empowers those who already know how to play the game at a high level.

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