InfoQ Homepage Culture & Methods Content on InfoQ
-
Using Artificial Intelligence for Analysis of Automated Testing Results
Analysis of automated testing results is a very important and challenging part of testing activities. At any given moment we should be able to tell the state of our product according to the results of automated tests, Maroš Kutschy said at QA Challenge Accepted. He presented how artificial intelligence helps them save time spent on analysis, reduce human errors, and focus on new failures.
-
Ensuring Security without Harming Software Development Productivity
Security can be at odds with a fast and efficient development process. At QCon San Francisco Dorota Parad presented how to create a foundation for security without negatively impacting engineering productivity. She showed how you can make your security strategy almost invisible to the engineers while embedding it deep into the culture at the same time.
-
How a Software Architect Uses Artificial Intelligence in His Daily Work
Software architects and system architects will not be replaced anytime soon by generative artificial intelligence (AI) or large language models (LLMs), Avraham Poupko said. They will be replaced by software architects who know how to leverage generative AI and LLMs, and just as importantly, know how NOT to use generative AI.
-
Most Companies Experience Weekly Outages: The State of Resilience 2025 Report
According to The State of Resilience 2025 Report, published by Cockroach Labs, outages are commonplace in most organizations, with 55% of companies reporting weekly and 14% reporting daily outages. Staggering 100% of survey participants experienced revenue losses due to outages, with some companies (8%) reporting losses of USD $1 million or higher over the last 12 months.
-
How to Foster a Continuous Improvement and Learning Mindset in Software Development
According to Ramya Sriram, individuals and teams must embrace a continuous improvement and continuous learning mindset to stay competitive and relevant. She spoke about continuous improvement and learning, where she explored how her company fosters a culture of innovation through programs that support experimentation, providing employees with the time and space to explore new approaches and adapt.
-
How Data Contracts Support Collaboration between Data Teams
Data contracts define the interface between data providers and consumers, specifying things like data models, quality guarantees, and ownership. They are essential for distributed data ownership in data mesh, ensuring data is discoverable, interoperable, and governed. Data contracts improve communication between teams and enhance the reliability and quality of data products.
-
Creating Accessible Websites Using the Web Content Accessibility Guidelines
Web accessibility is about making web content available to users with disabilities. Development teams can use the success criteria of the Web Content Accessibility Guidelines to improve accessibility and create an inclusive website.
-
Using Machine Learning on Microcontrollers: Decreasing Memory and CPU Usage to Save Power and Cost
According to Eirik Midttun, artificial intelligence (AI) and machine learning (ML) are useful tools for interpreting sensor data, especially when the input is complex, such as vibration, voice, and vision. The main challenges of using machine learning on microcontrollers are the constraints in computing power available and cost-related requirements that come with microcontroller-based designs,
-
Why Software Developers Need to Build Their Personal Brand
Growing your personal brand can improve your credibility, give you greater impact, and lead to better opportunities, Pablo Fredrikson said at QCon San Francisco. As a staff plus engineer, helping others solve problems creates value for the company. His advice is to find out what you are passionate about, learn more about it, get better at it, and share it, to build your personal brand over time.
-
Shaping an Impactful Data Product Strategy
Lior Barak and Gaëlle Seret advocate proactive, business-focused strategies for data engineering. Barak proposes a 3-year roadmap using his Data Ecosystem Vision Board to align teams on strategic capabilities and measure ROI, cost, and impact. Seret promotes a "data as a product" approach, co-creating visions with stakeholders and evolving shared taxonomies to ensure long-term alignment.
-
Agile Alliance Joins the Project Management Institute
The Agile Alliance has officially joined the Project Management Institute (PMI), forming the PMI Agile Alliance. The partnership aims to enhance global project management by integrating Agile principles with PMI's resources and reach. While many celebrate the opportunities for collaboration, development and innovation, critics express concerns about the potential dilution of Agile values.
-
Learnings from Internal Tool Migrations to Support Software Engineering Efficiency
In her presentation at QCon San Francisco, Ying Dai shared two critical software engineering migration stories - one focused on production monitoring and the other on production deployments with automated validations. Both migrations were driven by the goal of enhancing engineering efficiency, but each came with its own challenges and lessons.
-
How to Go from Copy and Paste Deployments to Full GitOps
InnerSource helped reduce the amount of development work involved when introducing GitOps by sharing company-specific logic, Jemma Hussein Allen said at QCon London. She showed how they went from copy and paste deployments to full GitOps. She mentioned that a psychologically safe environment is really important for open and honest discussions that can help resolve pain points and drive innovation.
-
How to Do National Language Adaptation in C++
As customers take on a more active role in national language adaptation, the process should be simple, using tools they are familiar with, Daniela Engert stated in her talk at NDC TechTown. They decided to use GetText in C++ where they provide tools and procedures for their customers to provide translations.
-
Exploring Factors that Drive Software Engineering Productivity
Understanding what drives software development productivity is the key to making high-impact investments in engineering productivity, Emerson Murphy-Hill said at QCon San Francisco. He presented the results of their investigation into factors that predict developer productivity and shared what they learned from exploring inequities in software engineering.