The relentless climb in memory prices driven by the AI boom's insatiable demand for datacenter hardware has renewed an old debate about whether modern software has grown inexcusably fat, a column by the Register argues. The piece points to Windows Task Manager as a case study: the current executable occupies 6MB on disk and demands nearly 70MB of RAM just to display system information, compared to the original's 85KB footprint. "Its successor is not orders of magnitude more functional," the column notes. The author draws a parallel to the 1970s fuel crisis, when energy shortages spurred efficiency gains, and argues that today's memory crunch could force similar discipline. "Developers should consider precisely how much of a framework they really need and devote effort to efficiency," the column adds. "Managers must ensure they also have the space to do so." The article acknowledges that "reversing decades of application growth will not happen overnight" but calls for toolchains to be rethought and rewards given "for compactness, both at rest and in operation."

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Michael Truell, the 25-year-old CEO and cofounder of Cursor, is drawing a sharp distinction between careful AI-assisted development and the more hands-off approach commonly known as "vibe coding." Speaking at a conference, Truell described vibe coding as a method where users "close your eyes and you don't look at the code at all and you just ask the AI to go build the thing for you." He compared it to constructing a house by putting up four walls and a roof without understanding the underlying wiring or floorboards. The approach might work for quickly mocking up a game or website, but more advanced projects face real risks. "If you close your eyes and you don't look at the code and you have AIs build things with shaky foundations as you add another floor, and another floor, and another floor, and another floor, things start to kind of crumble," Truell said. Truell and three fellow MIT graduates created Cursor in 2022. The tool embeds AI directly into the integrated development environment and uses the context of existing code to predict the next line, generate functions, and debug errors. The difference, as Truell frames it, is that programmers stay engaged with what's happening under the hood rather than flying blind.

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Apple's Developer Academy in Detroit has spent roughly $30 million over four years training hundreds of people to build iPhone apps, but not everyone lands coding jobs right away, according to a WIRED story published this week. The program launched in 2021 as part of Apple's $200 million response to the Black Lives Matter protests and costs an estimated $20,000 per student -- nearly twice what state and local governments budget for community colleges. About 600 students have completed the 10-month course at Michigan State University. Academy officials say 71% of graduates from the past two years found full-time jobs across various industries. The program provides iPhones, MacBooks and stipends ranging from $800 to $1,500 per month, though one former student said many participants relied on food stamps. Apple contributed $11.6 million to the academy. Michigan taxpayers and the university's regular students covered about $8.6 million -- nearly 30% of total funding. Two graduates said their lack of proficiency in Android hurt their job prospects. Apple's own US tech workforce went from 6% Black before the academy opened to about 3% this year.

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