Sylvainkalache

AI-assisted incident response can lower MTTR while leaving engineers less prepared for the complex incidents automation cannot solve.

AI can generate code faster than humans can review it. Engineering teams must redesign review, reversibility, and accountability.

Sylvain Kalache went looking for the new ways AI breaks software. Every one turned out to be a habit we've had for years.

Your AI agents are lost - why context engineering and knowledge graphs give agents the structure they need for retrieval, memory, planning, reasoning, and learning from business outcomes.

AI vs. AI - how autonomous attackers are scaling phishing and malware, how defenders can use agents to cut alert noise, and where accountability belongs when AI investigates and remediates incidents.

Speaking on the Incident Fest Main Stage about staying reliable as AI-assisted development increases the rate at which software is created.

Why Twingate stopped shipping features to rebuild reliability - from active-active multi-region architecture and smaller blast radiuses to preserving human ownership as agentic coding accelerates delivery.

Meta-hosted summit in Menlo Park focused on applying AI, LLMs, and agents to software incidents and response.

How a chain of reasonable-sounding decisions led an AI coding agent to run terraform destroy against a live production database - and the guardrails that separate moving fast from losing everything.

Engineering leaders discuss when AI coding assistants accelerate development and when they introduce security, quality, and architectural risk.