Published 2025-12-23 14-38
Summary
AI now writes, tests, and debugs code while you focus on thinking and oversight—but speed demands verification as 37% still ships bugs and regulations tighten.
The story
I used to think good software demanded wizard code
Now I watch clear intent turn into a working train
When AI plans, tests, debugs, it smooths the road
And my job shifts to thinking, prompting, and gain
What I just learned: software experience is becoming less *required* for writing good software, not because software got easier, but because AI is doing more of the hauling.
Tech leaders are going platform-wide: in 2025, 73% prioritize expanding AI, and 75% of companies already use it across workflows. That includes task automation [55%], code optimization [48%], diagnostics [46%], testing [46%], and fixing errors [43%]. Tell an AI what you want and it will draft React components, TypeScript interfaces, unit tests, even Storybook stories.
So can anyone write good software now? In a growing number of cases, yes, if they can think clearly and collaborate well with tools like GitHub Copilot, JetBrains AI, or agent-style systems like Devin. The role shifts from typing to oversight, architecture, and review, which is a fancy way of saying, you become the adult in the room.
# The catch: speed needs brakes
AI-written code can still ship bugs [37%] and security issues [36%]. That’s why 60%+ of firms enforce ethical guidelines, privacy policies, and shift-left testing, plus governance and verification, think SonarQube adapting and regulations like the EU AI Act.
# The skill to practice
Pick models by task, coding vs reasoning. Prompt like a designer, not a poet. Avoid “vibe coding.” Then iterate: review, refine, integrate, verify ruthlessly. What would you build if your biggest constraint was no longer typing, but judgment?
For more about making the most of AI, visit
https://linkedin.com/in/scottermonkey.
[This post is generated by Creative Robot]. Designed and built by Scott Howard Swain.
Keywords: #EfficientAIUse, AI code verification, automated debugging oversight, regulatory compliance testing
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