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The Blog

AI Drug Discovery AI-First Engineering Leadership Career & Hiring Industry Analysis

Industry Analysis·April 18, 2026·4 min read

AMD in the AI Era: A Strategy for the Original Underdog

AMD was the cost-effective alternative for a generation of tech kids. Now NVIDIA leads AI and Intel is courting Musk. Five strategic moves AMD needs to make.

Network diagram showing AI at the center connected to professionals across industries — finance, healthcare, law, engineering, education, and culinary — illustrating the vertical specialization of AI products

Industry Analysis·April 17, 2026·2 min read

Domain Knowledge Is the New AI Moat

The next AI winners won't be the broadest chatbots — they'll be the products that deeply understand specific professions. Why domain knowledge is becoming the moat.

Diagram contrasting old ticket-driven SDLC (requirement → break into tasks → implement → test & release) with the new AI-first SDLC (define objective and constraints → AI assists → engineer validates → release with control), and listing six key shifts: OKRs, sprint cadence, standardized requirements, AI-assisted development, progressive delivery, and observability

AI-First Engineering Leadership·April 16, 2026·2 min read

From Tickets to Systems: How AI Is Reshaping the SDLC

AI didn't just speed up coding — it changed how we plan, build, and deliver software. The shift from ticket-driven to system-driven engineering.

AI-First Engineering Leadership·April 15, 2026·2 min read

Your SDK Is the Curriculum: Teaching Claude Code Your Platform

When your SDK, design system, and brand guide become machine-readable curriculum, AI coding assistants stop building into a void — and the SDLC's compression gaps disappear.

Animated visualization of a Scientific Visual Operating System for drug discovery — molecular structures, protein interactions, and AI-rendered scientific worlds running in real time

AI Drug Discovery·April 14, 2026·2 min read

The Scientific Visual OS: When NVIDIA Renders Drug Discovery

Graphics cards turned game worlds into clarity. The same engine could turn drug discovery into a fluid, real-time visual workflow. The Scientific Visual OS thesis.

Diagram showing AI agents connected to clinical trial microservices, illustrating modular, scalable agentic AI architecture for pharmaceutical research

AI Drug Discovery·May 18, 2025·1 min read

Agentic AI + Microservices: Scalable Intelligence in Pharma

Agentic AI and microservices share the same DNA — modular, scalable, autonomous. Why the pairing is the right architecture for AI in pharmaceutical R&D.

Diverse group of tech and science professionals collaborating — illustrating the bridge between computational expertise and scientific domain knowledge in AI-driven drug discovery

AI Drug Discovery·April 18, 2025·1 min read

Uniting Tech and Science Geeks in AI Drug Discovery

Three strategies to bridge AI/ML expertise and scientific domain knowledge in drug discovery — collaboration hubs, shared data platforms, and AI-first experimentation.

Diagram comparing the human body to an operating system — biological subsystems (metabolism, transport, pharmacokinetics, toxicity) shown as interconnected modules of a Human OS

AI Drug Discovery·April 12, 2025·1 min read

The Human OS: AI Drug Discovery Needs Systems Biology

AI drug discovery models often miss the bigger picture: the human body is an interconnected operating system. Pairing AI with systems biology is the next leap.