InfoQ Homepage Culture & Methods Content on InfoQ
-
/articles/rightsizing-platform-engineering/en/smallimage/rightsizing-platform-engineering-thumbnail-1787296955801.jpg)
Rightsizing Platform Engineering: Building the Platform Your Organization Actually Needs
Shift-left and DevOps have impacted how we flow changes from inception to production, but at the cost of increased cognitive load and duplication of effort across testing, security, and maintenance. This article explores the real-world challenges of rightsizing developer platforms and finding a cultural match for engineering teams who use them to reduce cognitive load and deliver change faster.
-
/articles/system-comprehension-evolutionary-architecture/en/smallimage/thumbnail-1786087830832.jpg)
Comprehension as an Architectural Characteristic: A System That Is Not Understood Cannot Evolve Safely
As AI commoditizes code output, system comprehension silently decays, creating cognitive debt that threatens safe architectural evolution. This article explores why human understanding must be treated as an essential architectural characteristic, offering actionable strategies, socio-technical metrics, and design checkpoints to preserve intent across modern engineering teams.
-
/articles/culture-trends-2026/en/smallimage/infoq-trends-report-small-logo-1784644382346.jpeg)
InfoQ Culture and Methods Trends Report - 2026
This report summarizes how the InfoQ Culture and Methods editorial team sees the ongoing and emergent trends in the culture and methods space in 2026.
-
/articles/adoption-curve-twenty/en/smallimage/20-birthday-InfoQ-thumb-image-updated-1780931679034.jpg)
The Technology Adoption Curve, Twenty Years On
Today, June 8th, InfoQ celebrates 20 years. This is not a comprehensive history, but a deliberately selective look at the technologies and practices InfoQ identified early, where they sit on the adoption curve in 2026, and how that curve may evolve over the next five to ten years.
-
/articles/alternative-reduce-test-suite-size/en/smallimage/alternative-reduce-test-suite-size-thumbnail-1774943323622.jpg)
A Better Alternative to Reducing CI Regression Test Suite Sizes
How can you focus in a sea of results from a large regression test suite? This article describes a stochastic approach that relies on some degree of redundancy in your CI regression test set. This approach does not guarantee you will catch every bug every time, but it gives you your best bet of not missing the subtle signatures of all the bugs uncovered by your CI regression test suite runs.
-
/articles/panel-high-performing-teams/en/smallimage/panel-high-performing-teams-thumbnail-1771509840628.jpg)
Virtual Panel - Culture, Code, and Platform: Building High-Performing Teams
In this virtual panel, we'll focus on performance improvement through platform engineering and fostering developer experience, to increase productivity, quality, developer well-being, and more. We'll also explore the role that tech leadership can play in culture change and performance improvement for software development organizations.
-
/articles/why-ml-projects-fail-production/en/smallimage/why-ml-projects-fail-production-thumbnail-1769072877092.jpg)
Why Most Machine Learning Projects Fail to Reach Production
In this article, the author diagnoses common failures in ML initiatives, including weak problem framing and the persistent prototype-to-production gap. The piece provides practical, experience-based guidance on setting clear business goals, treating data as a product, and aligning cross-functional teams for reliable, production-ready ML delivery.
-
/articles/friction-fix/en/smallimage/friction-fix-thumbnail-1769156177973.jpg)
The Friction Fix: Change What Matters
Friction is the invisible current that sinks every transformation. Friction isn’t one thing – it’s systemic. Relationships produce friction: between the people, teams and technology. The fix isn’t Kubernetes, the Cloud or AI. The fix is changing our patterns of thinking, communicating, and organizing.
-
/articles/ai-developers-rewriting-software-process/en/smallimage/ai-developers-rewriting-software-process-thumbnail-1768398859653.jpg)
Virtual Panel - AI in the Trenches: How Developers Are Rewriting the Software Process
This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape of software development. Practitioners share their insights on successes and failures when AI is incorporated into daily workflows, emphasizing the significance of context, validation, and cultural adaptation in making AI a sustainable element of modern engineering practices.
-
/articles/PDCA-AI-code-generation/en/smallimage/AI-code-gen-with-a-formal-and-repeatable-PDCA-cycle-thumb-image-1760692414560.jpg)
A Plan-Do-Check-Act Framework for AI Code Generation
AI code generation tools promise faster development but often create quality issues, integration problems, and delivery delays. A structured Plan-Do-Check-Act cycle can maintain code quality while leveraging AI capabilities. Through working agreements, structured prompts, and continuous retrospection, it asserts accountability over code while guiding AI to produce tested, maintainable software.
-
/articles/unintended-consequences-automation-software/en/smallimage/unintended-consequences-automation-software-thumbnail-1759912534899.jpg)
Exploring the Unintended Consequences of Automation in Software
This article lays out some of the common assumptions and misconceptions about automation and its role in software (and software incidents), what our research has found regarding how automation shows up in software incidents, and some ideas around how people can better design automated tools to help people better handle software incidents.
-
/articles/software-engineers-excel-AI/en/smallimage/software-engineers-excel-AI-thumbnail-1756904662117.jpg)
Virtual Panel: How Software Engineers and Team Leaders Can Excel with Artificial Intelligence
Artificial intelligence is impacting the individual work of software developers, how professionals work together in teams, and how software teams are being managed. In this panel, we'll discuss how artificial intelligence is reshaping software development, and what mindset and skills are required for software developers and engineering leaders to become adaptable and resilient in the age of AI.