back
Get SIGNAL/NOISE in your inbox daily
AI Dev Tools are useful now, especially for writing tests, prototyping, and repetitive tasks. They are not magic, but excellent helpers. For complex code or debugging, human input is still better. Providing better context, scoping the task well, and reusing past information are key to getting the most out of them. Context management, persistence, and large language models keep improving. Soon, they may be essential.
Recent Stories
Jan 19, 2026
App Store apps are exposing data from millions of users
An effort led by security research lab CovertLabs is actively uncovering troves of (mostly) AI-related apps that leak and expose user data.
Jan 19, 2026Stop ignoring AI risks in finance, MPs tell BoE and FCA
Treasury committee urges regulators and Treasury to take more ‘proactive’ approach
Jan 19, 2026OpenAI CFO Friar: 2026 is year for ‘practical adoption’ of AI
OpenAI CFO Sarah Friar said the company is focused on "practical adoption" in 2026, especially in health, science, and enterprise.