Unsettling Practices in Tech: An Examination of Developers’ Risky Behaviour and the Role of AI in Tackling the Problem

In a recent survey conducted by market research firm OnePoll on behalf of Sauce Labs, shocking revelations regarding developer practices have come to light. The survey, which encompassed responses from 500 developers, provides valuable insights into the prevalence of code pushing without testing, the use of untested code generated by ChatGPT, merging pull requests without review, circumventing security protocols, unauthorized use of coworker’s credentials, increased testing responsibilities, the blurry line between laziness and overloaded tasks, the potential benefits of automation, the existence of a skills gap, and overwhelmed DevOps pipelines. This article delves into the survey findings and explores the implications for organizations and developers alike.

The survey’s most concerning finding is that a staggering 67% of developers admitted to pushing code into production without proper testing. This practice raises significant concerns about code quality, reliability, and potential risks to the systems and users they impact. Organizations must address this prevalent issue and implement proper testing protocols to ensure stability and security.

Another alarming discovery is that 60% of developers confessed to using untested code generated by ChatGPT, with 26% admitting to doing so regularly. While AI-generated code can provide efficiency and convenience, relying on untested code poses significant challenges. Organizations should emphasize the importance of thorough testing to prevent potential bugs, vulnerabilities, and unpredictable behaviour.

Merging Pull Requests without Reviews

The survey also uncovered that over two-thirds of developers merge their own pull requests without seeking a review. This practice disregards the crucial step of peer code review, which helps identify and rectify potential issues, inconsistencies, and code quality concerns. Organizations need to emphasize the importance of collaborative review processes to ensure robust codebases.

Circumventing Security Protocols

Disturbingly, three-quarters of developers confessed to circumventing security protocols, with 39% routinely doing so. This behavior poses significant risks to organizations, as it undermines established security measures and potentially exposes sensitive data and systems to unauthorized access. It is vital for organizations to address and enforce strict security protocols to safeguard their assets.

Unauthorized Use of Coworker’s Credentials

The survey revealed that a concerning 70% of developers admitted to using a coworker’s credentials to bypass access restrictions, with 41% doing so regularly. This behavior not only raises ethical concerns but also jeopardizes data integrity and system security. Organizations should foster a culture of accountability and implement measures to prevent unauthorized access.

Increased Responsibility for Testing

Interestingly, the survey found that 77% of developers have assumed more responsibility for testing over the past year. This shift may be attributed to various factors, including evolving project requirements, resource limitations, or a lack of dedicated testers. However, while developers taking on testing responsibilities can promote collaboration and efficiency, it is essential to ensure they possess the necessary expertise and resources to maintain code quality.

Laziness vs. Overloaded Tasks

The survey prompts us to question whether the observed developer practices are indicative of laziness or an overloaded workload. Increasingly, organizations have shifted more tasks to developers, resulting in overload and potential shortcuts. Striking a balance between task allocation, skill development, and workload management is crucial to avoid compromising code quality and security.

Increased Automation in DevOps Workflow

To reduce the cognitive load on developers and enhance code quality, organizations should consider automating tasks within a DevOps workflow. By automating repetitive and error-prone processes, developers can focus on higher-value activities, ensuring better code quality, improved security, and faster delivery. However, implementing automation requires careful planning, adherence to best practices, and sufficient resources.

The existence of a skills gap

The survey highlights a fundamental skills gap among developers, warranting attention from organizations and the industry as a whole. Adequate training, professional development opportunities, and mentorship programs can help address this gap, empowering developers with the necessary skills to meet evolving demands.

Overwhelmed DevOps Pipelines

With developers assuming more responsibilities, DevOps teams managing the overall codebase face overwhelmed pipelines. This situation calls for strategic resource allocation, improved workflow management, and the adoption of scalable solutions to maintain efficiency and prevent bottlenecks.

The survey’s findings shed light on concerning practices among developers, such as code pushing without testing, bypassing security protocols, and unauthorized use of credentials. Organizations must prioritize code quality, security, and collaborative processes to mitigate risks and ensure customer satisfaction. Emphasizing the importance of proper testing, implementing strict security protocols, exploring automation opportunities, addressing the skills gap, and managing DevOps pipelines effectively are steps towards building a strong developer culture and robust software development practices in the modern era.

Explore more

Is Bad Data Architecture Stalling Your AI Ambitions?

The corporate landscape is littered with the wreckage of ambitious artificial intelligence projects that were doomed from the start because they were built upon the shifting sands of legacy data systems rather than a rock-solid architectural foundation. While the allure of generative models and autonomous agents captures the imagination of the executive suite, the practical reality of implementation often reveals

Enterprise Software Valuation – Review

The digital infrastructure underpinning the global economy has undergone a radical transformation as enterprise software moves beyond simple automation toward predictive, AI-integrated environments. This transition marks a departure from the legacy models of the past decade, placing a spotlight on how 191 US-listed firms with market capitalizations over $2 billion are being appraised. Current market sentiment focuses on the financial

Why Human Systems Are Essential for Successful AI Integration

The global rush to integrate artificial intelligence into every facet of business operations has led to a paradoxical situation where massive financial injections often result in stagnant growth and technical obsolescence. Across the globe, organizations are pouring billions into advanced algorithms, yet many find that these investments fail to deliver a measurable return. The prevailing assumption that a more powerful

The UN Establishes Global Framework for AI Governance

Secretary-General António Guterres has emphasized that while national actions are essential, global coordination remains indispensable to prevent a regulatory race to the bottom in AI development. This statement resonates deeply as the world faces a critical juncture where the speed of technological advancement consistently outpaces the slow-moving gears of traditional bureaucracy. In 2026, the proliferation of large-scale language models and

Can AI Balance Economic Growth With Global Risks?

The silence of a high-tech laboratory often masks the thunderous impact of its outputs, but today that impact is felt in every coffee shop and boardroom across the planet where silicon chips are redefining human capability. More than a billion individuals have now woven generative models into the fabric of their professional and personal existences, creating a momentum that moves