Friday's CONSTRUCT follows one tension through security, coding agents, and local runtimes: AI systems are getting better at producing findings and code faster than teams can verify, prioritize, and safely land the results.

• Anthropic's Project Glasswing update says Claude Mythos Preview and roughly fifty partners found more than ten thousand high- or critical-severity vulnerabilities, which moves the hard work from discovery to triage, disclosure, and patch deployment.
• Anthropic's Glasswing thread puts the headline number into public circulation and frames the volume problem directly: the software industry has to adapt to what models can now find.
• Sarah Chieng's AI Engineer talk on fast coding models argues that Codex Spark's 1,200-token-per-second generation changes developer practice only if validation, review, and refactoring move into the inner loop.
• Letta's local Code announcement shows the same pressure in agent tooling: local execution, local memory, and local model support are useful only when provenance and sync rules stay explicit.
• Artificial Analysis on Cursor Composer 2.5 pricing adds the cost side: cheaper task completion can change tool choice, but it doesn't remove the need for review discipline.