Injecting GenAI into applications is deceptively easy. Need a new chatbot backed by an LLM? Grab an OpenAI API key and you can throw together an MVP in an afternoon. This is the pattern teams have used to push AI features into apps for the last few years. The problem, as with previous tech hype cycles, is the “Day 2” hangover. This is the operational nightmare where the telltale signs of architectural debt appear. Once these apps hit production, reality bites: you wake up to a $10,000 bill because some logic went rogue, or you discover that 50 different developers have hardcoded 50 different API keys across their .env files. The remedy isn’t just better discipline; it’s better architecture. Specifically, the AI Gateway pattern. This middleware sits between your internal developers and external model providers, acting as a critical control plane, including giving developers an easy way to implement solutions to pressing problems in the AI space, including AI guardrail...
GitHub says attackers accessed thousands of internal repositories after a company employee’s device was compromised through a malicious Visual Studio Code extension, though the company said it has removed the malicious extension, isolated the compromised endpoint, and launched an investigation. The company confirmed that approximately 3,800 internal repositories were affected. GitHub stated that investigators have not found evidence of impact to customer repositories or enterprise environments outside GitHub’s own systems. The hacking group TeamPCP later claimed responsibility for the intrusion in a post on the Breached cybercrime forum. The group alleged it had obtained source code and thousands of private repositories and sought at least $50,000 for the data. GitHub has not formally attributed the attack to TeamPCP, though the company acknowledged that the group’s public claims are generally consistent with the scope of the ongoing investigation. The GitHub breach is the latest e...