Assorted links for Friday, March 14:
- Agentic AI is the New Web App, and Your AI Strategy Must Evolve
Two years into the generative AI revolution, the LLMs that power tools like ChatGPT and Claude have become startlingly powerful. However, according to Salesforce CEO Marc Benioff, they may be reaching their limits. Per Benioff, the next evolution is not necessarily more intelligent LLMs but autonomous AI agents that leverage LLMs to execute tasks independently.
- Title Launch Observability at Netflix Scale
- Performance of the Python 3.14 tail-call interpreter
About a month ago, the CPython project merged a new implementation strategy for their bytecode interpreter. The initial headline results were very impressive, showing a 10-15% performance improvement on average across a wide range of benchmarks across a variety of platforms.
Unfortunately, as I will document in this post, these impressive performance gains turned out to be primarily due to inadvertently working around a regression in LLVM 19.
- Model Context Protocol
MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.
- Traversal-resistant file APIs
A path traversal vulnerability arises when an attacker can trick a program into opening a file other than the one it intended. This post explains this class of vulnerability, some existing defenses against it, and describes how the new os.Root API added in Go 1.24 provides a simple and robust defense against unintentional path traversal.