TestDevLab's Mid-January Newsletter 2025 ??

TestDevLab's Mid-January Newsletter 2025 ??

Welcome to 2025

2025 stands out as something special in the world of numbers. It's what mathematicians call a perfect square - specifically 45 × 45 = 2025. This puts us in rare company, as perfect square years don't come around often. The last one occurred nearly 90 years ago in 1936 (44 × 44), and we'll have to wait until 2116 (46 × 46) for the next one.

2025 also looks to be a big year in tech, so make sure to keep checking your inbox to get our bitesize summaries of the biggest developments.

In the first edition of 2025, we look at:

  • Software Development Trends To Look Out For In 2025
  • The AI-Race Is On
  • AI’s Role In Advancing Drug Research


Banner: Tech News


Man Climbing Stairs Looking off into the Stars

Software Development Trends To Look Out For In 2025

As we dive into 2025, a lot is already happening, but we've done the research and compiled a short list of several key trends that are reshaping the software development and testing landscape. Here's what QA professionals and software teams should keep on their radar:

AI-driven development evolution: The traditional tech stack is undergoing significant transformation, with AI simplifying development processes. Development teams will increasingly rely on AI-powered tools for code generation, testing, and quality assurance. However, this brings new challenges: while AI can speed up development, it also increases the volume of code that needs testing for vulnerabilities and errors. Quality assurance teams will need to adapt their strategies to handle this increased workflow effectively.

DevSecOps maturity: 2025 marks a shift from "shift-left" to "shift-everywhere" in security testing. Lightweight analysis in IDEs will help catch issues early, while automated security testing will become more integrated into pull requests and CI/CD pipelines. Special attention should be paid to API security testing and Software Bill of Materials (SBOM) implementation, as government mandates drive wider adoption.

Cross-functional integration: Organisations are moving away from siloed DevOps teams toward more holistic groups that include representation from all engineering disciplines, something that’s being called the emergence of xOps. This integration means QA professionals will need to work more closely with development and operations teams, using unified platforms that cover the entire software delivery lifecycle. Meaning the need for organisations to have experienced QA teams that don’t slow down progress is vital.

Regulatory compliance: With increasing regulatory pressure around software quality, especially in the wake of the CrowdStrike incident, testing teams will need to focus on enhanced testing protocols and well-defined response plans. Feature flags and canary deployments will become crucial for maintaining code quality and stable release cycles.

As these trends evolve, staying adaptable and continuing to update your testing strategies will be key to ensuring software quality in this rapidly changing landscape. The best way to stay on top of it all is by finding a trusted software QA partner.


Globe surrounded by data

The AI-Race Is On

Like most news you read in 2024 AI was a constant mention, and we were no different. We previously covered how 2025 will be the year AI grows into itself, going from a chatbot to an AI assistant capable of complex tasks. As 2025 starts the race to develop the most complex AI, the battle between who will dominate the AI scene, is already well and truly underway.

Recent unsealed court files in the US show that Meta’s executives are obsessed with beating OpenAI’s GPT-4 or Claude. At the same time, Google is beefing up Gemini as it tries to stop playing fourth fiddle to other AI bots. Mistral from France is getting ready to take on Silicon Valley giants and a dynamic underdog. All of this highlights how tech companies are racing to upstage each other with cutting-edge AI.

On the hardware side, billions are being invested in infrastructure to handle more complex models. AI is also making its way into the home as Nvidia announces a personal AI supercomputer you can pick up for $3,000 and is capable of handling AI models with 200 billion parameters.

All of this culminates in one clear thing—2025 will be transformational for AI. AI is coming into its own and tech companies are fighting tooth and nail as this happens. As whoever comes out on top is set to take advantage of the $4.4 trillion that Gen-AI stands to add to the global economy, annually. Whatever happens, all these companies will need to invest heavily in testing, as cutting corners has already led to serious issues for some. Testing such technology is something that only outsourced professionals should be trusted to do.


Banner: Future Vision

In Future Vision, we aim to give you an insight into the upcoming tech world developments that might not be on your radar yet.

In this edition, we’re taking a look at how artificial intelligence is transforming drug discovery and helping to better tackle difficult diseases.

Artificial intelligence is revolutionizing drug discovery, with companies like Insilico Medicine leading the way in developing AI-designed treatments. The traditional drug development process, which typically takes 10-15 years and costs over $2 billion, could be significantly streamlined through AI technologies that both identify therapeutic targets and design molecules to bind to them. Major players in this field now include specialized AI biotech startups, established pharmaceutical companies, and tech giants like Alphabet's Isomorphic Labs.

While AI shows promising results in drug discovery, with at least 75 AI-discovered molecules currently in clinical trials, the field still faces several challenges. These include limited data availability for AI training and the need to prove that AI-discovered drugs can successfully complete clinical trials. Experts note that while AI won't replace pharmaceutical scientists, it will become an integral partner in the drug discovery process, potentially reducing failure rates and accelerating development timelines. The industry now awaits its first fully approved AI-discovered drug, which would mark a significant milestone in pharmaceutical innovation. We at TestDevLab can’t wait to see how AI will continue to revolutionize the healthcare landscape.


Banner: Blog Posts

Take a look at this month's latest blog posts:

Exploring Generative AI and Its Impact on Quality Assurance

Key Differences Between TDD, BDD, and ATDD

What is Defect Clustering—Everything You Need to Know

How to Track and Improve Testing Efficiency (Top Strategies)

Functional vs. Non-functional Testing: What’s the Difference?

Digital Accessibility Lawsuits: Trends, Risks, and How to Avoid Them

Want to see more? Check out our ?? Blog



Banner: We are hiring!

We have 5 open vacancies for seasoned specialists across different teams. We are also hiring engineers outside Latvia, so please don’t hesitate to apply.

You can find more information about our open positions on our careers page, where you can also apply. If you think you have something to offer and want to be a part of something amazing — we would love to see your CV!


Banner: Bugs, Bugs, Bugs Everywhere

800,000 VW electric vehicle owners' data exposed by software bug

Microsoft: macOS bug lets hackers install malicious kernel drivers

Eutelsat resolves OneWeb leap year software glitch after two-day outage

LA fire department sends mistaken evacuation order to millions of residents


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