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AI 资讯

InfoQ Opens Enrollment for New AI-Assisted Engineering Online Certification Program

InfoQ has opened enrollment for the InfoQ Certified AI-Assisted Engineering Program, a five-week online certification program for senior engineers and architects who already run a coding agent against production code daily, where the open questions have moved past prompting into what the agent is allowed to touch and what catches its mistakes before a human does. By Artenisa Chatziou

2026-08-20 原文 →
AI 资讯

Article: Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules

Deterministic rules safeguard hard metrics, but what about architectural intent? Discover how agentic fitness functions combine AI agents and versioned rubrics to evaluate complex, judgment-heavy concerns—such as boundary fidelity, semantic contract drift, and stale ADR assumptions. Elevate evolutionary architecture governance with continuous, calibrated feedback loops. By Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy

2026-08-17 原文 →
AI 资讯

Presentation: From Thousands to One: Building LLM-Powered Selection Systems

Jendrik Jördening shares practical engineering strategies for integrating LLMs into production pipelines. He discusses overcoming non-determinism, restricting schemas, separating semantic text extraction from deterministic code, and validating choices using discriminator models. Learn how to structure LLMs with an MVC approach to ensure database integrity, observability, and system reliability. By Jendrik Jördening

2026-08-17 原文 →
AI 资讯

Article: 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. By Jacobus Meintjes, Narayana Rengaswamy, Paul Katsande, Sureshbabu Bikki

2026-08-10 原文 →
AI 资讯

Presentation: Leveraging Adversary Emulation for GenAI Red Teaming

Kennedy Torkura discusses practical GenAI red teaming techniques to safeguard LLMs and knowledge bases against security threats like data poisoning and LLMjacking on AWS. He explains how engineering leaders and architects can bridge traditional cloud security with MITRE ATLAS frameworks to proactively identify vulnerabilities, implement guardrails, and secure production AI applications. By Kennedy Torkura

2026-08-10 原文 →
AI 资讯

Article: Enabling Evolutionary Architecture Through the Preservation of Change Locality

Why do simple features suddenly require cross-team negotiations? In this article, explore how boundary drift quietly destroys change locality and increases cognitive load across teams. Learn practical sociotechnical strategies - redistributing mechanics, exposing essential policy, and rehearsing exception paths - to restore domain boundaries and enable a truly evolutionary software architecture. By Michael Fischer, Nicholas Lawrence, Monica Karekar

2026-08-03 原文 →
AI 资讯

Presentation: Architecting AI Systems for the Messy Reality of Enterprises: Why Agentic Compute is the Missing Layer

Arun Joseph shares real-world insights on scaling enterprise agentic platforms like Deutsche Telekom’s LMOS. He discusses bridging organizational fault lines, replacing tool sprawl with core platform abstractions, and moving beyond basic chatbots to operational intelligence systems through ephemeral agents and an Agent Definition Language (ADL). By Arun Joseph

2026-08-03 原文 →
AI 资讯

Presentation: Clean Architecture for Serverless: Business Logic You Can Take Anywhere

Elena van Engelen discusses how to eliminate serverless vendor lock-in without sacrificing native cloud capabilities. She explains how to structure FaaS applications using Clean Architecture, Spring Cloud Function, and Gradle modules to isolate business logic. Finally, she shares a live demo deploying portable Kotlin services across AWS and Azure using Terraform CDK for multi-cloud IaC. By Elena van Engelen

2026-07-27 原文 →
AI 资讯

Article: An Evolutionary Architecture Pattern for Managing AI’s Pace of Change

Traditional API gateways assume deterministic services and simple schemas - assumptions agentic AI breaks. Discover why enterprise engineering leaders are adopting AI Gateways as an evolutionary architecture seam. Centralize guardrails, model routing, agent identity, action policy, and semantic audit within a single control plane to prevent costly incidents while keeping core platforms stable. By Joe Price, Branimir Đurek, Pavlos Migkiros, Trevor Dearham

2026-07-27 原文 →
开发者

Achieving Compliance as a Platform Engineering Team by Helping Developers

When a new platform team set out on implementing their roadmap through forced workflows with poor documentation, developer experience declined. Success came from simplifying governance, prioritizing what matters, and rolling out compliance incrementally through prevention, detection, and communication. Empathy, focus, and shared purpose drove successful adoption. By Ben Linders

2026-07-23 原文 →
AI 资讯

Presentation: Platform Engineering for Everyone - Success Can’t Be Coded

Max Korbacher explains why successful internal development platforms cannot be built on tech alone. He discusses the pitfalls of infrastructure-first thinking, the importance of a clear product mindset, and how to measure real value using DevEx and SPACE metrics. Learn how to align your team, manage tech debt, and foster a thriving community to ensure lasting platform adoption. By Max Körbächer

2026-07-20 原文 →
AI 资讯

Podcast: Strands Agents with Clare Liguori

Thomas Betts talks with Clare Liguori, the technical lead on the open source Strands Agents SDK. The conversation covers how Strands Agents has grown from a Python SDK to a full agent harness running in production. Clare shares some lessons learned from building agents at scale, shifting to a model-driven architecture, and what comes next as the LLMs that underpin agents continue to improve. By Clare Liguori

2026-07-20 原文 →
AI 资讯

Article: Comprehension at AI Speed: Building a Context Store for Evolutionary Architecture

AI makes the first 80% of development feel fast, but hides architectural complexity until it's too late. To prevent system instability, engineering leaders must shift from raw throughput to systemic comprehension. By unifying spec-anchored SDD, TDD, and automated fitness functions into a repo-bound "Context Store," teams can ensure AI agents and human reviewers evolve code safely. By Stella Berhe, Stephan Bragner, Vikram Maran, Anand Jayaraman

2026-07-14 原文 →
AI 资讯

Presentation: Road to Compliance: Will Your Internal Users Hate Your Platform Team?

Davide de Paolis discusses the realities of rolling out cloud infrastructure compliance without fracturing developer relations. Drawing from a real-world platform team reboot at Sevdesk, he explains how to implement "minimum viable governance" on AWS, utilize event-driven Slack alerting to automate policy feedback, and shift from rigid enforcement to high-empathy, data-driven collaboration. By Davide de Paolis

2026-07-13 原文 →
AI 资讯

Podcast: Governance in the Age of AI: A Conversation with Sarah Wells

In this podcast, Michael Stiefel spoke to Sarah Wells about the relationship of governance to software architecture. Governance enables teams to work effectively by establishing procedures that minimize system complexity, improve security, and reduce repetitive tasks. Targeted checklists help engineers by reducing the stress over these procedures. By Sarah Wells

2026-07-13 原文 →