NDC Conferences YouTube · August 13, 2026

Copilot, Cursor, and Custom LLMs: Navigating the New .NET Developer Experience - Isaac Levin

Copilot, Cursor, and Custom LLMs: Navigating the New .NET Developer Experience - Isaac Levin video thumbnail
Why it matters

Isaac Levin compares GitHub Copilot in Visual Studio with Cursor on .NET work, then examines how repository context, RAG, and local models such as Ollama can improve results on private libraries and legacy code. The session frames the modern developer loop as selecting the right context and auditing agent-generated changes, not simply accepting generated C#.

My takeaway: Evaluate coding assistants on representative repository tasks before standardizing them. Define which code and documentation may leave the organization, use local models when the data boundary requires it, and require generated changes to pass builds, tests, security checks, and human review before merge.
Keep exploring

More curated notes connected through AI Engineering and Model Evaluation.

OpenAI News · framework

Pacing model development in an era of cyber-critical capabilities

OpenAI says preliminary evidence that Astra may meet its Critical cybersecurity threshold led it to pause frontier reinforcement-learning work for two weeks and keep its largest planned run on hold. New safeguards include stronger workload and network isolation, continuous boundary testing, token-level monitoring that escalates suspicious tool activity, and broader alignment checks for deception, reward hacking, and unauthorized access.

OpenAI News · framework

A blueprint for democratic governance of frontier AI

OpenAI proposes a three-part U.S. frontier-AI governance model: harmonize emerging state safety laws into a federal baseline, strengthen CAISI as an evaluation and standards institution, and coordinate a broader resilience program. Proposed controls include severe-risk evaluations, transparency reports, independent audits, safety-incident reporting, model-weight security, whistleblower protection, and periodic technical assessments.

OWASP GenAI Security Project · guide

OWASP Top 10 for Agentic Applications for 2026

OWASP's community guide organizes agentic-system risk into ten categories, including goal hijacking, tool misuse, identity and privilege abuse, memory poisoning, insecure inter-agent communication, cascading failures, and rogue-agent behavior. It provides a shared taxonomy and mitigation starting point rather than a certification checklist or evidence that a deployed system is secure.