The era of “AI as text” is over. Execution is the new interface.
See how the GitHub Copilot SDK enables agentic workflows directly inside your applications.
Topics: Code Assistants
Entities: Code AssistantsGitHub Copilot SDK
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A focused stream of recent stories from the sources curated for this community. Latest: The era of “AI as text” is over. Execution is the new interface., Today in AI — 10 March 2026 - Mitchell Bryson, and AI finally learns to secure the code it writes - Mitchell Bryson. Page 458.
See how the GitHub Copilot SDK enables agentic workflows directly inside your applications.
Topics: Code Assistants
Entities: Code AssistantsGitHub Copilot SDK
Today's top AI news — curated links and commentary on the stories that matter for product builders.
OpenAI shipping Codex Security, Anthropic's Claude finding 22 CVEs in Firefox in two weeks, and Microsoft treating AI agents as governed security principals all point to the same inflection: the industry is racing to close the security gap that AI coding...
Topics: Code Assistants
Learn how our threat model and security architecture help teams run agents safely in GitHub Actions.
Today's top AI news — curated links and commentary on the stories that matter for product builders.
Codex Security is an AI application security agent that analyzes project context to detect, validate, and patch complex vulnerabilities with higher confidence and less noise.
Topics: Code Assistants
Entities: Code Assistants
By combining rigorous model evaluation, full-platform use of OpenAI, and agent workflows, Balyasny is reinventing investment research.
Entities: OpenAI
How Copilot code review helps teams keep up with AI-accelerated code changes.
Today's top AI news — curated links and commentary on the stories that matter for product builders.
AI agents are gaining deeper access to enterprise systems and developer environments faster than anyone is securing them. Three stories from a single news cycle show the attack surface widening in real time.
Today's top AI news — curated links and commentary on the stories that matter for product builders.
The hardest problem in agentic AI is not building capable agents — it is describing what we want them to do. Polanyi's Paradox, Goodhart's Law, and the limits of language converge to create a specification gap that no amount of engineering can close.