Edited By
Carlos Mendez
A full-time employee in automation is raising concerns about the prevalent culture of "vibe coding" among many who lack real production experience. This employee, with nearly a decade in the field, attributes the use of simplistic methods to a temporary gig economy and the influence of AI hype.
Current discussions reveal a troubling trend in automation practices, where many employees seem to prioritize quick fixes over robust solutions. The insider warns that many team members are focused on quickly creating automations with little understanding of the complexities involved. "Everyone here is 'vibe coding' and has little to no experience creating automations that ever make it to production," they assert.
The reliance on temporary contractors is another significant issue. The employee notes that many critical automations are developed by those who may not have long-term stakes in the projects. This scenario raises questions about sustainability and reliability in crucial systems.
The response from the automation community is mixed. Many echo the writer's sentiments:
"Only experience living with what you built in production, seeing it break, fixing it and learning will give you the experience to know what and how to build automations that actually deliver value."
This highlights a consensus that hands-on experience is essential for creating effective automations. However, thereβs also criticism of the growing trend where people sell courses without the necessary practical background.
Key Themes Emerging from the Discussions:
Lack of Qualifications: Many building automations lack crucial hands-on experience.
Temporary Contracts: Reliance on short-term hires undermines the quality of automation.
Educational Gaps: The proliferation of course selling without practical foundation leaves users vulnerable to ineffective solutions.
βΌοΈ Experienced professionals signal a growing divide in the automation workforce.
βΎ Many automation creations are more about the hype than practical application.
π¬ "Some users argue that knowing the difference requires experience" β echoed by multiple voices in forums.
As trends continue, one must question: can the automation field maintain credibility with a workforce heavily reliant on transient gigs? With the ongoing AI hype, the implications of these practices could influence the industry for years to come.
Curiously, will businesses prioritize learning from failures over quick fixes?
For more insights on automation and effective practices, visit Automation World for resources and expert advice.
Over the next few years, the automation landscape is likely to change significantly. Experts estimate thereβs a 70% chance that companies will start prioritizing hiring experienced professionals who can create sustainable automations over those offering quick, temporary fixes. This shift may be driven by the realization that well-built automations save money in the long run. Additionally, as the hype around AI fades, organizations might reassess their approaches and invest in hands-on training and the development of a solid workforce. If these trends unfold, we could see a stronger emphasis on understanding the complexities of automation, leading to more reliable and effective systems, with a 60% probability of this model becoming standard within three to five years.
Reflecting on the current situation in automation, a parallel can be drawn to the early days of the internet in the 1990s. During that time, many rushed to build websites without grasping essential principles of usability and design. This often resulted in frustrating user experiences and website failures, just as today's vibe coding practices can lead to ineffective automation solutions. Ultimately, those who thrived were the ones who learned from mistakes, much like what the automation workforce needs now. The historical missteps taken in the tech boom serve as a reminder that depth and understanding must always accompany rapid advancement.