今日已更新 35 条资讯 | 累计 37284 条内容
关于我们

标签:#InfoQ Certification Program

找到 9 篇相关文章

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

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

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

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 →
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 →