# sponsor-andela Published articles for sponsor-andela. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Why human oversight is shifting from writing code to defining requirements DevFeed: [Why human oversight is shifting from writing code to defining requirements]() Original publisher: [Read original article]() Author: Naseeb Ahmed Mian Published: 2026-09-17T13:00:00Z Content type: opinion Language: en Sources: [The New Stack]() Topics: [Requirements](), [AI Agent](), [Code](), [Availability]() Tags: [agent](), [agents](), [ai-agents](), [ai-engineering](), [andela](), [automated](), [availability](), [code](), [pipeline](), [post-contributed](), [requirements](), [review](), [software-development](), [sponsor-andela](), [sponsored-post-contributed](), [tests]() ### AI overview The article argues that human oversight of AI-assisted software development should focus on defining and reviewing requirements, not only checking whether generated code conforms to them. It illustrates the risk with a flawed availability-related requirement that passed specification review, generated six passing tests, traceability checks, and automated QA while violating the feature's intended outcome. ### Source excerpt This walks through the pipeline our agents operate inside--from a recorded scoping meeting through unit specs, spec review, generated code, The post Why human oversight is shifting from writing code to defining requirements appeared first on The New Stack. ## 47,000 job listings reveal the engineering roles that AI is creating DevFeed: [47,000 job listings reveal the engineering roles that AI is creating]() Original publisher: [Read original article]() Author: Jennifer Riggins Published: 2026-09-10T13:09:28Z Content type: news Language: en Sources: [The New Stack]() Topics: [Machine Learning & Artificial Intelligence](), [AI Development](), [Machine learning]() Tags: [ai](), [ai-engineering](), [ai-strategy](), [andela](), [engineering](), [jobs](), [machine-learning](), [post](), [skills](), [sponsor-andela](), [sponsored](), [sponsored-post](), [tech-careers](), [work]() ### AI overview Andela's analysis of 47,000 Fortune 500 engineering job postings identifies emerging AI-related roles formed by combining established skill sets. The article argues that organizations should use AI to delegate suitable work while retaining human expertise and specialization. ### Source excerpt Every major transformation in tech has led to roles merging, then new ones emerging. Friction between developers and operations drove The post 47,000 job listings reveal the engineering roles that AI is creating appeared first on The New Stack. ## Stop AI code sprawl before it destroys your software design DevFeed: [Stop AI code sprawl before it destroys your software design]() Original publisher: [Read original article]() Author: Emmanuel Akita Published: 2026-09-10T12:30:00Z Content type: opinion Language: en Sources: [The New Stack]() Topics: [AI-assisted coding](), [CI/CD](), [ci]() Tags: [ai](), [ai-coding](), [ai-engineering](), [andela](), [architecture](), [ci-cd](), [post-contributed](), [python](), [sponsor-andela](), [sponsored-post-contributed](), [testing]() ### AI overview The article argues that AI-generated code can create "Comprehension Debt" by silently violating architectural boundaries. It advocates enforcing architecture through automated tests and CI/CD pipelines rather than relying on documentation and manual review. ### Source excerpt While AI code generators help teams ship faster than ever, that speed brings a hidden killer: Comprehension Debt. As soon The post Stop AI code sprawl before it destroys your software design appeared first on The New Stack. ## How Kubernetes 1.34's Dynamic Resource Allocation improves GPU scheduling DevFeed: [How Kubernetes 1.34's Dynamic Resource Allocation improves GPU scheduling]() Original publisher: [Read original article]() Author: Dawood Abbas Published: 2026-08-06T16:00:00Z Content type: article Language: en Sources: [Kubernetes Overview, News and Trends | The New Stack]() Topics: [Kubernetes v1.34](), [GPU]() Tags: [ai-infrastructure](), [andela](), [common-expression-language](), [gpu](), [helm-charts](), [kubernetes](), [nvidia](), [platform-engineering](), [post-contributed](), [sponsor-andela](), [sponsored-post-contributed]() ### AI overview The article explains how Kubernetes 1.34's Dynamic Resource Allocation changes GPU scheduling. It describes limitations of treating GPUs as identical resources, including out-of-memory errors, rigid MIG resource types, pending jobs, and wasted capacity, then presents DRA as a way for workloads to express more explicit GPU requirements. ### Source excerpt Consider a platform team managing a shared GPU cluster with a mix of B200s, H100s, and recently added B300s. Every The post Say goodbye to K8s GPU pain: How DRA changes everything appeared first on The New Stack.