Boris Cherny, the creator of Claude Code, recently made three big claims that caught my attention. He said modern Claude models can run autonomously for days or weeks. He said Claude Code is no longer demonstrably prompt injectable. And he said his team deleted more than 80% of Claude Code’s system prompt after the launch … Read more
An unprecedented AI cybersecurity incident has made one thing very clear: long-running agents can create risks far beyond the task they were originally given. OpenAI was carrying out an internal cyber-capabilities evaluation. Its models had their usual safety refusals switched off, were placed in an isolated environment with no intended internet access, and were given … Read more
If I’m building an AI system, using Claude Code, Codex, or working with an agent such as Hermes, I don’t want to rely on prompting alone. Prompts matter, but the workflow shape matters just as much. That’s where agentic design patterns come in. I think of each pattern as a small workflow graph. It defines … Read more
AI coding agents are becoming a normal part of software work. I use them to explain unfamiliar code, draft changes, find bugs, and move much faster through repetitive tasks. Yet every time I point an agent at a folder, I need to ask a more basic question first: what data is leaving my machine, where … Read more
People often treat an AI model as if it is the entire product. They compare Claude, Codex, Gemini, and local models, then assume the biggest model produces the best result. That misses a major part of what makes an AI coding agent useful. I can take the exact same model, give it the same task, … Read more
Unsloth has released a new 4-bit version of Qwen3.6 that it describes as up to 2.5 times faster. The release uses NVIDIA’s NVFP4 format, and it can run locally on a single Blackwell GPU. That immediately caught my attention, because the headline number sounds excellent, but data center benchmark figures don’t always map cleanly to … Read more
Loop engineering has become one of those AI terms that can mean almost anything, depending on who is using it. Some people present it as the biggest shift in AI development. Others dismiss it as while loops and cron jobs with a new label. I think both sides have a point. Loops are not new. … Read more
A few weeks ago, Anthropic published a 36 page playbook on securing AI agents like Claude Code. The timing matters. On one side, I can now give agents far more access than even a year ago. They can read files, call tools, connect to APIs, send messages, write code, and make decisions without stopping every … Read more
DeepSeek keep doing something I wish more AI labs would do. They push model performance forward, then they open source the useful part. This time, the release wasn’t a new language model. It was something more practical for anyone running local AI or serving models in production. It was DSpark, and the key thing to … Read more
Google recently shipped a new open spec called the Open Knowledge Format, or OKF. Their core argument is simple and, frankly, hard to disagree with. Large language models are no longer held back mainly by raw intelligence. They’re held back by context. If a model doesn’t understand your app, your business, your systems, or your … Read more
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