We Will Have 50,000 Jiras and No Better Software

📰 Dev.to AI

The advent of AI in software development has led to an abundance of copied existing software, rather than significant improvements in software quality or innovation

intermediate Published 25 Mar 2026

Action Steps

Recognize the shift in bottlenecks from 'can we build this' to 'what should we build' with AI-powered code generation
Identify areas where AI can augment human decision-making in software development
Focus on high-level tasks such as defining project scope, prioritizing features, and ensuring software quality
Develop strategies to leverage AI for innovation, rather than just replication of existing software

Who Needs to Know This

Developers, product managers, and technical leads on a software development team can benefit from understanding the current state of AI in software development and its potential impact on their work, as it highlights the need to focus on high-level decision making rather than just code generation

Key Insight

💡 The true value of AI in software development lies not in automating coding tasks, but in enabling developers to focus on higher-level decision making and innovation.