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See all postsWeekend Reading #96 covers AI controls across the SDLC, Meta’s confidential processing architecture for AI glasses, automated dependency analysis across Uber’s service mesh, and Elastic’s benchmark-driven system for safely optimizing Elasticsearch with coding agents.
AI across the software development lifecycle, from requirements and architecture to coding, testing, deployment, operations, security, and compliance. Practical guidance on AI authority, deterministic controls, human ownership, and safe engineering workflows.
AI speeds up coding, but shifts pressure to review, testing, security, maintainability, and CI. This article examines seven failure modes of AI-assisted development and where engineering teams should respond.