Tag archive
Example-based tests encode cases an agent can enumerate and hardcode past. Property-based tests quantify over inputs the agent did not see at code-write time, which is the gap that makes the lookup-table attack more expensive than the honest fix. Properties are one layer in the enforcement stack, not the whole stack.
Agents do not fail at login because they are weak browsers. They fail because auth walls expect authority, continuity, and a safe branch when proof cannot be completed.
HackerRank's Chakra watches developers code in a live repository, lets them use AI and asks follow-up questions. It ran 500,000 interviews before launch.
Thought, action, observation: the loop that turned one-shot text generators into agents that can check their work.
How does Constructor's Agentic Checkout work? On October 5, 2026, Constructor launched Agentic...
The Framework You Built May Be the Problem In 2025, the default advice for anyone building...
Saya berhenti menambah tab chatbot dan mulai menjalankan agent sendiri. Ini setup, biaya, dan trade-off-nya.
Why Apple Rewrote Full Disk Access for AI Agents: Permission Is a Lease, Judgment Is per...
Send a prompt from Telegram, watch your AI agent write code and deploy it. How we built the bot, the auth flow, and why mobile-first DevOps matters.
Most explanations of AI agents stop at “a model with tools”. That is true, but it doesn't help when...
An honest take on where AI agents, LLMs, and production systems actually are right now -- from someone deep in the space.
An honest take on where AI agents, LLMs, and production systems actually are right now -- from someone deep in the space.