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What We're Reading
Nemotron Labs: How Open Models Give Enterprises and Nations AI They Can Trust, Control and Customize
Open models like NVIDIA Nemotron let enterprises move from renting AI to owning it — customizing, evaluating, and running specialized systems tuned to their business instead of relying solely on closed proprietary models.
From SDLC to Software Factories: The Next Evolution
Software development is undergoing a fundamental transformation. AI agents are becoming first-class contributors, turning teams into software factories where humans orchestrate and agents execute at scale.
The Context Development Lifecycle: Optimizing Context for AI Coding Agents
With AI agents now capable of writing features and fixing bugs, the bottleneck has shifted from code production to context quality. Organizations must treat context as an engineered artifact with versioning, testing, and continuous improvement.
Context Graphs: AI's Trillion-Dollar Opportunity
The next trillion-dollar platform opportunity lies not in traditional systems of record, but in capturing "decision traces"—the reasoning, exceptions, and precedents behind automated decisions.
The Trillion Dollar AI Software Development Stack
Generative AI is revolutionizing software development, with AI coding assistants and agentic tools transforming how 30 million developers plan, code, review, and deploy software worldwide.
How Netflix Built a Real-Time Distributed Graph
Part 1 of a series on building a distributed graph for real-time applications. Netflix processes over 1 million Kafka messages per second using Apache Flink, powering ads, live events, and gaming.
Modular Manifolds
Exploring how constraining neural network weight matrices to mathematical submanifolds maintains tensor health during training. Introduces "manifold Muon," a variant of the Muon optimizer designed for the Stiefel manifold.
Spec-Driven Development with AI
Rather than relying on vague prompts to AI coding agents, the spec-driven approach establishes clear specifications as "executable artifacts" that guide implementation through four phases: Specify, Plan, Tasks, and Implement.
Podcasts We're Listening To
Latent Space
swyx & Alessio
The Rise of AI Engineering
Deep dive into how AI is transforming software engineering workflows and the emergence of AI-native development tools.
Acquired
Ben Gilbert & David Rosenthal
Anthropic
The complete history of Anthropic, Claude, and the race to build safe, beneficial AI systems.
Practical AI
Daniel Whitenack & Chris Benson
Coding with AI Assistants
Practical strategies for integrating AI coding assistants into your development workflow.
Interesting New Tools
A2UI
Google's open protocol for agent-driven interfaces - lets AI agents safely send rich, declarative UIs
ProtocolChordio
AI-powered design reviews that catch accessibility, usability, and visual issues in Figma and browser
DesignDoctave
Docs-as-code platform for building modern developer documentation with OpenAPI support and Git workflows
DocumentationBaseten
AI inference platform to deploy and scale ML models with blazing-fast cold starts and 99.99% uptime
InfraCC.dev
Cloud-native development environment with AI-assisted coding capabilities
IDEChai
BDD/TDD assertion library for Node.js and browsers that pairs with any JavaScript testing framework
TestingZed
High-performance code editor from creators of Atom and Tree-sitter, built in Rust with AI and multiplayer
IDEWarp
Agentic development environment with AI agents that run terminal commands and work with MCP tools
CLIripgrep
Line-oriented search tool that recursively searches directories while respecting gitignore rules
CLIDon't Miss an Issue
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