Four Misleading Tech Trends of 2023: AI in Front‑End Development, AI‑Driven Monitoring, ERP & Low‑Code Hype, and Cloud Cost Myths

In the opening remarks, the author explains that his content is personal experience‑based, free of commercial intent, and aims to separate fact from hype, especially against technology influencers who often create sensational narratives for traffic.

Misleading 1: AI will fully replace front‑end development in three years – The author argues that while large language models (e.g., GPT‑3.5, GPT‑4) are powerful, they remain limited tools that can assist with code generation, design‑to‑code conversion, and productivity, but cannot replace the deep business understanding and design skills of front‑end engineers. Real‑world examples show AI as a helper, not a replacement.

Misleading 2: Monitoring will be completely handled by large models – The author recounts a discussion with an operations director, emphasizing that AI lacks the cost‑effectiveness, reliability, and decision‑making authority required for critical monitoring and AIOps tasks. Human judgment, especially in incident response and business‑impact decisions, remains indispensable.

Misleading 3: ERP is dead, mid‑platform is obsolete, low‑code will dominate – The author clarifies that ERP and mid‑platform solutions address specific problems such as rapid innovation across multiple business lines. Low‑code and no‑code tools are valuable for accelerating development in dynamic environments, but they are not universal replacements for traditional development when business needs are stable.

Misleading 4: Cloud migration is too costly, build your own data center – The author explains that perceived high cloud costs stem from dynamic pricing, migration effort, and lack of cloud‑native architecture. While cloud adoption can be expensive for certain workloads, the decision should consider scale, operational expertise, and the ability to refactor applications for cloud‑native environments.

Overall, the author urges readers to critically evaluate hype, recognize AI as an augmentation tool, and make technology choices based on concrete business scenarios rather than influencer‑driven trends.