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Nova Learning survey shows student interest shifting from CS/AI to Engineering

A survey by academic mentoring platform Nova Learning found that the share of middle and high school students naming Computer Science and AI as their top academic interest dropped from 42.3% in 2025 to 27.9% in 2026, while Engineering's share nearly doubled, rising from 11.9% to 23%, led largely by Mechanical and Aerospace Engineering. Separately, the National Student Clearinghouse Research Center reported an 8.1% drop in undergraduate Computer and Information Science enrollment at four-year institutions, to about 606,000 students, even as Engineering enrollment grew.

Developer Jared White launches 'We Write Code by Hand' pledge site

Portland-based developer and writer Jared White created a website where programmers can publicly sign their names to affirm they still write software manually, without relying on AI code generation tools. The list has already drawn dozens of signatories from independent developers and freelancers around the world. White also runs a web studio, Whitefusion, that markets itself to clients seeking human-crafted development work.

Essay warns 'meat proxy' LLM workflows offer no lasting job security

A software engineering blogger describes a growing trend where workers let LLMs perform tasks like coding or summarizing without verifying the output, simply relaying results back and forth—dubbed being a 'meat proxy.' The author argues that while this approach has improved since early 2025, its logical endpoint is self-defeating: if an LLM can eventually produce good software unsupervised, employers will simply automate the loop and remove the human entirely.

Essay likens AI coding shift to stonemasons-to-carpenters bridge-building change

An essay draws a parallel between the historical shift in bridge construction from stonemasons hand-placing stone to carpenters building wooden forms for poured concrete, and today's shift in software development driven by AI code generation. The author argues developers are moving from directly writing code line-by-line, like stonemasons, to constructing structures such as tests, documentation and guardrails that shape what AI generates, akin to carpenters building molds.

Developer Blog Revives 'CRAP' Metric for Code Quality Reviews

A technical blog post reintroduces CRAP (Change Risk Anti-Patterns), a code-quality metric that combines cyclomatic complexity and test coverage to flag risky, poorly tested code. The author traces its origins and argues teams should apply it as a practical check during software projects.

IBM to Host Free Webinar on Responsible AI for IEEE Students

IBM is hosting an interactive webinar aimed at higher education students, particularly IEEE chapter members, covering the basics of AI types, common concerns, and IBM's approach to Responsible AI. Attendees will apply these principles to a real use case involving IBM Bob, a software development life cycle agent, and can participate via live polling and Q&A.

Opinion piece argues software's flexibility breeds workplace irrationality

An essayist contends that software projects, despite being fundamentally simple systems of forms, databases and workflows, tend to make otherwise rational people behave erratically. The piece attributes this to the unique combination of speed, cost, complexity and near-limitless ability to change direction that software allows, unlike physical construction where changes have visible, immediate costs.

Hacker News thread asks if pre-AI coding jobs still exist

A Hacker News user posted an 'Ask HN' thread seeking companies where developers still write code manually rather than relying on LLM-based coding agents. The poster, currently between contracts, says they would rather change careers entirely than manage AI agents, and asked the community whether such traditional workplaces still exist.

AI Lowers Barrier to Building Software, But Raises New Risk Questions for Businesses

AI tools now let non-engineers build custom software in a fraction of the time it once took, shifting the classic 'build vs. buy' debate from a question of technical capability to one of strategic risk. An Entrepreneur contributor argues that while AI has made building nearly frictionless, companies still take on ongoing burdens like reliability, maintenance and security that vendors traditionally absorbed.

Peter Ullrich launches Pushin.eu, a Europe-only Git hosting service

Dutch developer Peter Ullrich is building Pushin.eu, a Git hosting platform designed to keep code and data entirely within Europe. The service is currently in invite-only beta, with general availability planned for early 2027, and will eventually charge subscription fees comparable to GitHub and GitLab.

Software Firm COO Details Where AI Coding Agents Actually Save Time

An engineering firm's COO ran AI agents and large language models across the company's full software development lifecycle to test their real impact on production projects rather than demos. The experiment found AI most useful for automating repetitive boilerplate code, catching edge-case bugs during review, and speeding up documentation searches, while architectural decisions still required human judgment.

Report: Premature Scaling Architecture Remains Top Software Project Pitfall

An Entrepreneur analysis of hundreds of software engagements finds that many teams design for massive future scale before they have real usage data to justify it, leading to wasted complexity and slower execution. It cites Standish Group CHAOS data showing software project success rates rose only from 29% in 2015 to 31% in 2020, underscoring how common these missteps remain.