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Sophie Alpert argues that there are no lossless transformations of natural-language text, so engineers should stand behind every idea and sentence when using AI to help write docs, and not disclaim AI-generated content.
Anthropic's engineering team shares their complete experience from over two years of security isolation for Claude products, including three isolation modes (ephemeral containers / HITL sandbox / local VM) and six incident postmortems with fixes, emphasizing environment-layer defense over model-layer.
A document titled 'Deep Learning Foundations, Architectures & Engineering Practice' is shared, likely covering fundamental concepts, architectures, and practical engineering aspects of deep learning.
Harness Engineering is not mysticism, but an engineerable living product. The article proposes a six-layer engineering framework (Rule, Skill, Sub Agent, Workflow, Scripts, dev-map), emphasizing starting simple, relying on scripts rather than prompts, and improving through iteration.
An open-source 65-line Markdown file that summarizes 4 programming rules for Claude to improve code quality and save tokens. It has garnered 130k+ stars on GitHub, inspired by Karpathy.
The user asks about the best agent memory solution currently in engineering practice and mentions Hermes Agent.
Introducing hello-agents, an open-source project that topped GitHub trending. It systematically organizes courses on AI and Agents from theory to practice, covering skills like Agentic RL, SFT, GRPO. Created by former Vercel engineer Mat, it distills engineering experience into 16 skills, such as Grim prompting techniques and red-green cycle testing methods.