DHH Says We’re Done Writing Code by Hand as AI Agents Take Over
Ruby on Rails creator David Heinemeier Hansson says 37signals has shifted from hand-coding software to directing AI agents. Here is how the workflow works—and what it changes.
Ruby on Rails creator David Heinemeier Hansson says 37signals has shifted from hand-coding software to directing AI agents. Here is how the workflow works—and what it changes.
AI Agents associated with OpenAI reportedly probed UN Website’s UNCTADstat thousands of times, highlighting how autonomous systems can turn data retrieval into API abuse.
Microsoft is bringing chat, software development and autonomous agents into one Copilot Super App. Here is how Home, Code and Autopilot reshape the AI workspace.
AI agents become fundamentally different when they can execute actions. Learn how to manage their access, identities, decisions, and security risks.
Australia’s Medicare portal incident due to OpenAI Agent shows how autonomous AI agents can cross authorization boundaries while pursuing a seemingly legitimate research goal.
Claude integration by Amazon signals a shift from seller software that recommends actions to AI agents that can complete listings, inventory, pricing, and analytics work.
OpenAI is reportedly exploring agentic, social, and creative AI capabilities that could push ChatGPT into territory occupied by xAI’s Grok and Meta’s Muse.
Explore how developers use AI observability tools to trace prompts, detect hallucinations, control token costs, evaluate outputs, and debug production LLM applications.
Scott Bessent’s reported criticism of OpenAI has intensified scrutiny of an alleged AI-agent attack on Hugging Face. Here is what is confirmed, claimed, and still unresolved.
Raindrop raises $35M Series A to build the observability layer for autonomous AI agents, detecting hallucinations, tool misuse and production failures.
Anthropic Claude Code now supports AGENTS.md, giving development teams a shared way to guide Codex, Claude, and other AI coding agents without duplicating every project rule.
AI coding agents are compressing development cycles and challenging sprint-based work. Here is how Agile teams can adapt without abandoning Scrum’s core values
The AI hardware race is shifting from training giant models to serving them efficiently. Here is how GPUs, specialized accelerators, memory systems, and rack-scale architectures are competing for inference workloads.