Daily notes on AI, testing, and building software.
Anthropic's launch of Claude Managed Agents in public beta (April 2026) gives QA teams a fully managed, sandboxed agent harness capable of planning, executing, and reporting on test runs autonomously — no human in the…
CVE-2026-20147 is a CVSS 9.9-rated critical remote code execution vulnerability in Cisco Identity Services Engine (ISE), the enterprise network access control (NAC) platform trusted by thousands of organizations to…
CVE-2025-32975 is a CVSS 10.0 authentication bypass vulnerability in Quest KACE Systems Management Appliance (SMA) that allows unauthenticated remote attackers to completely impersonate any valid user — including…
CVE-2026-5760 is a critical (CVSS 9.8) Server-Side Template Injection (SSTI) vulnerability in SGLang, a widely used open-source inference framework for large language models and multimodal AI models. By embedding a…
A large-scale 2026 research study examined how AI-generated test suites hold up when the code they test actually changes — and the findings are a wake-up call for QA teams rushing to adopt LLM test generation at scale.…
When a coding model responds at 1,000+ tokens per second, the feedback loop between writing code and validating it collapses from minutes to milliseconds — fundamentally changing how QA fits into the development cycle.…
Anthropic's Claude Opus 4.7 introduces a new /ultrareview command that acts like a skeptical senior engineer reviewing code for design-level issues — a capability that directly extends to automated test quality and test…
Anthropic's Claude Mythos and OpenAI's GPT-5.4-Cyber mark the first generation of frontier AI models purpose-built for cybersecurity tasks — which means security testing, pen testing, and vulnerability analysis are…
Agentic QA — where autonomous AI agents read requirements, generate test cases, execute them, and self-heal when they break — has moved from research prototype to production reality in 2026. Gartner projects that 33% of…
A new wave of agentic AI test platforms — backed by the same multi-agent LLM research coming out of ArXiv and production teams — can now generate, run, and self-heal entire test suites from natural language prompts,…