AI Lowers Cost of Writing Code, But Raises Value of Engineering Judgment

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As large language models make code generation faster and cheaper, the software industry is reconsidering what software engineers are actually for. Experts argue that AI handles syntax but cannot determine what to build, which business rules matter, or what architectural trade-offs to make — decisions that remain firmly human. This shift has prompted calls for structured approaches like Spec Driven Development, which anchors features in written specifications rather than open-ended AI chat sessions, reducing ambiguity and rework. Complementary frameworks such as FOCUS Architecture aim to keep codebases organized and context windows small, lowering the long-term cost of change. The emerging consensus is that engineering discipline — not access to the best AI tools — will define which teams build reliable software in the years ahead.

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LinkedIn's Dynamic CSS Classes Keep Breaking Third-Party Browser Extensions

A LinkedIn News blocker browser extension stopped working after LinkedIn's auto-generated CSS class names changed, severing the selectors the extension relied on to identify page elements. Modern front-end frameworks like React and Angular routinely rehash class names during build updates, even when the visible interface remains unchanged, making third-party tools fragile. The problem is compounded by potential A/B testing and regional variations, which can cause inconsistent failures across different users. Developers have identified three mitigation approaches: chasing updated selectors, using structural or text-based CSS selectors, and injecting custom data attributes via content scripts. Experts consider the last approach most robust, as it decouples the extension from LinkedIn's build process rather than depending on volatile platform-generated identifiers.

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ProgrammingDEV Community ·

Open-Source Tool Reveals Hidden Token Waste in AI Coding Agents

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University of Chicago Team Demonstrates Key Circuit for Topological Quantum Computing

Researchers at the University of Chicago have built a non-planar superconducting qubit using a crossbar 'waffle grid' of three horizontal and three vertical wires, forming nine Josephson junctions. Unlike conventional flat circuit designs, this geometry enables a mathematical property called Z3 combinatorial gauge symmetry when exposed to a controlled magnetic field. Experiments confirmed the circuit settled into six equivalent low-energy states, matching theoretical predictions and providing the first lab evidence of this symmetry in engineered hardware. This symmetry is considered a foundational requirement for creating quantum spin liquids, which in turn could serve as a platform for topological quantum computing. The findings were validated using neural-network variational Monte Carlo simulations, and the work establishes a critical building block for assembling larger, error-resistant quantum systems.

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ProgrammingDEV Community ·

AirMeter Mod Streams Multimeter Readings Live to a Browser via ESP32

A YouTuber known as Bits und Bolts has built AirMeter, an open-source hardware mod that wirelessly streams live readings from an ANENG AN870 multimeter to a web browser or OBS. The project was created to solve the common filming problem of glare, focus hunting, and awkward camera angles when capturing multimeter screens. Because the meter's built-in UART port is physically disabled under epoxy, the mod instead uses an RP2040 microcontroller to directly sample the LCD's multiplexed analog signals, which are then converted to clean digital levels using LM339 comparators. The decoded readings are transmitted over a 433 MHz HC-12 radio link to an ESP32-C3, which hosts a local web page that faithfully recreates the meter's display. All schematics, board files, and firmware are publicly available, and the method can be adapted to other budget multimeters built on the same DTM0660 chip.

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