A developer describes how runaway LLM costs forced them to shut down a perfectly functioning AI pipeline that rewrote job descriptions at scale. The post identifies three common cost pitfalls in AI ag…
A developer outlines practical patterns for building multi-agent systems with Python, including the ReAct architecture, tool selection, memory hierarchy, and error recovery. The guide emphasizes start…
A developer built six AI-powered projects in 30 days after being laid off in March 2026. The projects include a Chrome extension with 15 users, a weekly report generator, an Apple Mail plug-in, a resu…
A review of four major workplace studies reveals that AI productivity gains are real but radically uneven, benefiting inexperienced workers by up to 34% while providing near-zero gains for veterans an…
Dockfix Labs released AgentGuard, an open-source static analysis tool that scans AI agent codebases for all 10 OWASP Agentic Security Initiative risks, including prompt injection, tool abuse, and data…
Researchers introduced Proxy-KD, a method for distilling knowledge from black-box large language models (LLMs) like GPT-4 into smaller models without accessing internal states. Proxy-KD uses a proxy m…
A developer built SupportMind, a customer support agent with persistent memory and intelligent routing. The system uses Hindsight for session memory and cascadeflow for query routing, reducing costs f…
European AI experts push back against the narrative of permanent American dominance, arguing that the gap between US proprietary models and open-source alternatives is narrowing. The persistence of th…
The article delineates four subtypes of corrigibility in AI alignment: sponge corrigibility, boundedness/myopia, reflectively stable taskishness, and deep corrigibility. These categories range from si…
A developer built Norax, a 7th-generation autonomous AI agent with persistent memory, autonomous decision-making, and cost optimization. The agent uses a scratchpad for hot state, semantic/procedural/…
A new guide argues that teams should stop defaulting to GPT-4 for every task, calling it a design decision that is often wrong. The article provides practical advice on selecting the right AI model fo…
A backend developer built an AI-powered coding interview simulator using OpenAI's GPT-4 to practice for senior role interviews. The system uses a structured system prompt to enforce strict interviewer…
A developer built a simple AI router to avoid vendor lock-in and reduce costs by routing different tasks to the most appropriate AI model. The router uses a YAML config file to map tasks like question…
OpenAI Chief Research Officer Mark Chen said AI models are approaching the ability to generate their own innovations, driven by advances in pre-training and chain-of-thought reasoning. In a June 2026 …
A new open-source project called Windows-Copilot-API allows developers to access GPT-4 and GPT-5 models through Microsoft Copilot without API keys or billing by turning the free Copilot web interface …
A developer building a Catholic theology AI app implemented a groundedness evaluation pipeline to prevent hallucinations and ensure doctrinal accuracy. The app, Catholic Theology: AI & Faith, combines…
Researchers introduced Patent-CR, the first English dataset for patent claim revision, containing rejected and granted patent claims. Evaluating large language models, they found GPT-4 performed best …
Ollama's expansion to support Chinese AI models like Kimi-K2.5, GLM-5, MiniMax, and DeepSeek offers local deployment benefits but comes with hidden costs. Developers face documentation gaps, quantizat…
A developer built a research assistant agent with persistent memory and cost-aware model routing. The agent uses Hindsight for memory to avoid recommending already-read papers and cascadeflow for runt…
The New York Times has amended its copyright infringement lawsuit against OpenAI and Microsoft, dropping one claim against OpenAI and modifying another against Microsoft. The case, which alleges unaut…