InfoQ Homepage Articles
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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.
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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.
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Article Series: AI-Assisted Development: Real World Patterns, Pitfalls, and Production Readiness
In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline. As AI transitions from proof of concept to production, teams are discovering that the challenge extends beyond model performance to include architecture, process, and accountability. This transition is redefining what constitutes good software engineering.
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Preventing Data Exfiltration: a Practical Implementation of VPC Service Controls at Enterprise Scale in Google Cloud Platform
Implementing VPC Service Controls is more about people and process than technology. Organizations must conduct extensive upfront discovery, use phased rollouts to avoid breaking production systems, and design VPC Service Controls that enable rather than block work. Success requires automation, clear exception processes, tracking both security and business metrics, and continuous improvement.
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Platform-as-a-Product: Declarative Infrastructure for Developer Velocity
Declarative infrastructure config hides complexity, enabling developers to focus on application code. Unified YAML per service allows early cost validation, while independent CI with centralized CD balances team autonomy and deployment consistency. This standardized approach scales across organizations, making infrastructure invisible and operations automatic.
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Spec Driven Development: When Architecture Becomes Executable
Spec-Driven Development inverts traditional architecture by making specifications executable and authoritative. It transforms declared intent into validated code through AI generation and provides architectural determinism. It eliminates drift through continuous enforcement, but demands new engineering discipline in schema design and contract-first reasoning.
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Agentic Terminal - How Your Terminal Comes Alive with CLI Agents
In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval where needed, and execute the requests. He also explains the planning styles for three different CLI tools: Gemini, Claude, and Auto-GPT.
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The Architect’s Dilemma: Choose a Proven Path or Pave Your Own Way?
Software platforms and frameworks act like paved roads: they accelerate MVP/MVA delivery but impose decisions teams may not accept. If the paved roads don't reach your destination, then you may have to take an exit ramp and build your own solution. Experiments are necessary to determine which path meets your specific needs.
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Stop Guessing, Start Improving: Using DORA Metrics and Process Behavior Charts
Delivery performance rarely changes in a straight line. Small degradations caused by tooling, environment instability, or team changes can accumulate quietly, while real improvements take time to emerge. This article shows how combining DORA metrics with Process Behavior Charts helps teams zoom out, detect meaningful shifts early, and validate improvement hypotheses.
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Building Streaming Infrastructure That Scales: Because Viewers Won't Wait until Tomorrow
In streaming, the challenge is immediate: customers are watching TV right now, not planning to watch it tomorrow. When systems fail during prime time, there is no recovery window; viewers leave and may not return. One and a half years ago, at ProSiebenSat.1 Media SE, we faced the challenge of scaling streaming applications for international users.
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Where Architects Sit in the Era of AI
As AI evolves from tool to collaborator, architects must shift from manual design to meta-design. This article introduces the "Three Loops" framework (In, On, Out) to help navigate this transition. It explores how to balance oversight with delegation, mitigate risks like skill atrophy, and design the governance structures that keep AI-augmented systems safe and aligned with human intent.
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Architecture in a Flow of AI-Augmented Change
While AI adoption is surging, most organizations fail to scale past pilots. The solution lies in organizational structure, not just technology. This article details how architects can enable "fast flow" by defining clear domains and guardrails. Learn how to shift from controlling outcomes to curating context, allowing AI to drive continuous, valuable business change.