Detecting AI
Jesse Liberty tests an AI detection tool by feeding it AI-generated blog content, sharing the results.
Jesse Liberty tests an AI detection tool by feeding it AI-generated blog content, sharing the results.
Explains the differences between ChatClient Middleware and Agent Middleware in the Microsoft Agent Framework, with examples and use cases.
Explores how AI agents are changing organizational knowledge management, shifting from search to reasoning and requiring teams to maintain high-quality, current documentation.
This article argues that AI solving coding doesn't mean software engineering is solved, as organizational context and higher-level design remain critical.
Explores how enterprise AI context windows need explicit memory, reset, and retrieval boundaries to prevent drift and errors.
An analysis of technology concentration risk for CEOs and CIOs, covering AI, cloud, chips, and vendor dependency, with strategies for resilience.
Microsoft Entra simplifies passwordless MFA registration, allowing passwordless credentials as first MFA and recognizing Windows Hello/macOS SSO as standalone MFA factors.
A user describes a text encoding issue where apostrophes become garbled characters when syncing files between laptop and phone, due to UTF-8 and Windows-1252 misinterpretation.
Learn how to persist a rich domain model with EF Core, overcoming common ORM limitations for full encapsulation and invariants.
Swizec Teller shares his experience using AI to migrate a design system, highlighting the 'spaceship problem' where AI generates code quickly but requires extensive cleanup.
OpenAI accidentally attacked Hugging Face via compromised AI agents; a detailed timeline of the incident was presented at Black Hat.
A developer compares AI coding tools by having Codex with GPT-5.6 Sol Ultra build a raccoon heist game, fixing bugs and sharing results.
A developer's iOS astronomy app was wrongly rejected by Apple's App Store as astrology, despite being clearly science-based, sparking a Kafkaesque appeal process.
Companies are scrambling to reduce AI token costs, with Accenture revealing non-engineers drive consumption, notably converting PDFs to markdown.
Explains why power series are inefficient for computing trig functions like cosine, using cos(200) as an example, and discusses range reduction.
Review of Dell XPS 13 with Intel Core 5 320, highlighting efficiency and performance compared to MacBook Neo.
Explores why Python's math library can compute logarithms of huge numbers like 200! but not cosines, due to digit sensitivity and range reduction.
Brent Ozar answers SQL Server questions in a video office hours session, covering topics like plan cache bloat, in-memory OLTP, index tuning, and more.
Explores why neoclouds need vendor-neutral AI infrastructure orchestration to differentiate beyond GPU capacity, focusing on lifecycle management and platform services.
A practical guide comparing private AI cloud, sovereign cloud, and neocloud for enterprise AI infrastructure decisions.