Check Point has issued security updates for CVE-2026-91843, a stack-based buffer overflow in the login process of its Security Management Server and Log Server products. The flaw allows unauthenticated attackers to remotely execute code with root privileges in low-complexity attacks requiring no user interaction. Check Point says it isn't aware of active exploitation but has provided detection guidance and interim mitigations for customers who can't immediately apply the fix.
While many tech firms cite AI code-generation as reason to cut entry-level hiring, one company says it is increasing its junior engineer headcount instead. The company argues that AI tools handle routine coding tasks but cannot substitute for the on-the-job learning that turns junior developers into engineers with real judgment and intuition.
A physics PhD candidate who posted a 'Who wants to be hired?' listing on Hacker News describing skills in C++, CUDA, GPU programming and LLM inference was contacted by multiple unrelated people, each pitching the same senior software engineering role at one company with a different referral code attached. The job's referral program reportedly pays $1,500 per successful hire, and the messages appeared to use keyword matching and AI-generated personalization rather than genuine assessment of fit.
A new industry essay examines why heavy investment in AI coding agents this year has produced large volumes of mediocre code rather than transformative software, despite agents' proven success on smaller tasks like game prototypes and codebase migrations. The author argues that the technology and tooling ecosystem simply isn't mature enough yet to support fully autonomous, human-independent software development loops.
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.
A hacker collective called stegan0gram physically removed a Flock Safety roadside camera, extracted its stored data, and recovered an on-device encryption key meant to protect it. They shared the material with 404 Media and Distributed Denial of Secrets, which passed it to WIRED for joint analysis showing the camera logged roughly 50,200 vehicles and 1.6 million images over about 21 days.
Razer has released the Tartarus V2 Pro, an upgraded version of its one-handed gaming keypad featuring 31 fully programmable keys, no traditional QWERTY layout, and an adjustable palm rest. The refresh brings improved optical switches, a wider key actuation range, and a new analog TMR thumbpad, alongside RGB lighting throughout. It's available now for $200.
OpenSpec is a new open framework designed to help teams and AI coding agents stay aligned on software requirements. It provides tools to draft specifications, refine them for accuracy, and verify that the resulting code implementation actually matches what was specified.
GM unveiled new dashboard software for its next-generation gas-powered pickups, the 2027 Chevrolet Silverado 1500 and GMC Sierra 1500, featuring a redesigned home screen, tighter Super Cruise integration, and improved compatibility with Apple CarPlay and Android Auto. The upgrade applies only to combustion models, continuing GM's separate strategy for its EV lineup, which dropped phone-mirroring support in 2023 in favor of Google Built-In software.
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.
An Entrepreneur contributor pushes back on the viral 'SaaSpocalypse' theory that AI-driven 'vibe coding' will let companies replace SaaS products by prompting agents to build internal tools. The author argues this idea comes mostly from people unfamiliar with large-enterprise operations, where software must clear security reviews, compliance, legal approval, procurement and audits that no AI agent can complete on its own.
A former embedded systems contractor recounts building a real-time GPS moving-map display in the 1990s for hardware with a 25MHz 486-SX processor lacking a math co-processor, 32MB RAM, and ROM-based software. He used the Hipparchus library from Geodesy, which relied on Voronoi cells and integer math instead of costly floating-point trigonometry, achieving surprisingly high accuracy. The client later ran into financial trouble and the developer, as a contractor without IP rights, lost access to the finished prototype.
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