DevOps
AssessTechniques
A software delivery and operations approach that emphasizes collaboration, automation, and continuous feedback.
Why it's here
Placed in Assess: 8 article(s) of evidence from 2 source(s), led by framework updates, with 0 in the last 30 days. Confidence 56%.
Evidence (8)
- 6The New Stack·9/10/2026researchAI is creating new hybrid engineering roles
Andela analyzed 47,000 engineering job postings from Fortune 500 companies and identified more than 2,000 skills feeding into 23 emerging job titles. The report shows that AI-related hiring is producing specialized hybrid roles such as MLOps pipeline engineer, LLM application engineer, and FinOps reliability engineer rather than broad generalist positions.
- 3The New Stack·9/8/2026framework_updateExperts Debate Replacing AI Code Review
The article says engineering teams are struggling to review growing amounts of AI-generated code, and that the best verification approach is still unsettled. Two industry figures, John Bristowe and Viktor Farcic, are set to discuss whether human review or verified pipelines are better at catching bugs in AI-era development.
- 4InfoQ·8/24/2026framework_updateRightsizing Platform Engineering for Real Team Needs
The article examines how shift-left practices and DevOps can increase cognitive load and create duplicated effort across testing, security, and maintenance. It argues for building platform engineering capabilities that fit an organization’s actual needs and culture so teams can deliver changes faster with less overhead.
- 5The New Stack·8/22/2026framework_updateOpen Mainframe Project pushes mainframes into modern digital workflows
The article argues that the Open Mainframe Project and Zowe are helping reposition mainframes as central components of modern enterprise architecture rather than isolated legacy systems. By exposing mainframe capabilities through APIs and integrating them into DevOps and cloud-native workflows, organizations can extend reliability and governance into end-to-end digital operations.
- 2The New Stack·8/17/2026researchTech journalist Darryl K. Taft remembered after death at 67
Darryl K. Taft, a long-time technology journalist and former news editor at The New Stack, died on August 3, 2026 after a short illness at age 67. Colleagues remembered him as a respected reporter known for deep sourcing, clear writing, and extensive coverage of software, cloud, AI, DevOps, and open source over more than four decades.
- 5The New Stack·7/31/2026framework_updateThoughtworks Engineer Says AI Software Needs Human Oversight On the Loop
Thoughtworks distinguished engineer Kief Morris argues that teams using AI to build software need humans “on the loop” to define what counts as good code and good systems. He says production-ready CI/CD, tests, and guardrails must be built into agentic workflows now to keep software safe, secure, and maintainable. The article frames continuous delivery practices as the way to control AI agents rather than relying on post-hoc fixes.
- 6The New Stack·7/29/2026researchAI strategy shifts from coding speed to delivery throughput
The article argues that many companies invest in AI to make developers code faster, but coding is only a small part of software delivery. It says the biggest gains come from applying AI across the full software development lifecycle, especially in workflows like testing, reviews, incident response, and DevSecOps. The piece cites large regulated enterprises as examples of where AI can deliver measurable value when paired with mature CI/CD and automation.
- 5The New Stack·7/25/2026framework_updateBuild AI Context Systems Instead of Fixing Code
The article argues that software teams should stop trying to correct AI-generated code line by line and instead improve the surrounding system, context, and workflows. It frames this as a broader shift from deterministic software development toward context engineering, where organizations package and scale the information agents need to work effectively.