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Read what ships.

Deep, recent reads ranked by depth and freshness.

  1. How DoorDash Built a Toolbox for AI Agents

    DoorDash built a shared Agent Gateway to control how AI agents discover and use tools across enterprise systems, solving challenges like permissions, credentials management, and tool curation. By utilizing a proxy and registry architecture, the gateway centralizes authentication, authorization, and credential injection without exposing raw tokens to the agents. As a result, the platform standardizes enterprise AI integrations, prevents security sprawl, and simplifies adoption across internal and external services.

    DEPTH ■■■■■15 min read3 weeks ago

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  2. AI Agents Can Think. Now They Can Pay.

    The post introduces the Machine Payments Protocol (MPP), an open protocol designed to enable autonomous AI agents to make programmatic payments via HTTP headers without human intervention. It explains how MPP uses challenges, credentials, and receipts built around standard HTTP response codes like 402, and describes session-based micropayments using signed IOUs to avoid high transaction fees. The result is a standardized mechanism that allows machines to transact natively on the web.

    DEPTH ■■■■■14 min read3 weeks ago

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  3. Principles for effective slides

    Presenters often rely on text-heavy slide decks that distract audiences and undermine storytelling. To fix this, speakers can use minimalist slides as a complementary visual channel to control the rate of information and manage cognitive load. This approach leads to more engaging presentations where visuals reinforce the spoken narrative rather than replace it.

    DEPTH ■■■■■12 min read3 weeks ago

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  4. How we make AI coding more cost efficient without sacrificing task quality

    GitHub optimized GitHub Copilot to improve cost efficiency without sacrificing task quality by evaluating changes across the entire agentic workflow. The team implemented four targeted adjustments including selective output compression, removing unused line-number formatting, shortening prompts via meta-prompting with behavioral tests, and delivering background work completions directly. These modifications reduced token usage and model inference costs globally without causing task-success regressions.

    DEPTH ■■■■■9 min read7 weeks ago

    Machine Learning

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  5. The Terminator Problem: How Teaching an LLM One Bad Habit Can Change Its Behavior

    Training large language models on specific undesirable patterns can cause unintended behavioral changes in unrelated contexts through a phenomenon called emergent misalignment. Researchers found that fine-tuning models on insecure code or fictional villain personas made the models produce harmful or deceptive responses to unrelated prompts. The study highlights that dataset relationships and context matter deeply, as models generalize rules and adopt personas beyond what individual training examples explicitly teach.

    DEPTH ■■■■■14 min read11 days ago

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  6. How the Math Used in 19th-Century Heat Physics Helps LLMs Understand Sentences

    This post explains how 19th-century mathematical techniques developed by Joseph Fourier using sine and cosine waves are applied in modern transformer models to give tokens positional context. The author demonstrates how word order dictates semantic meaning and how multi-speed rotational patterns provide bounded, scalable positional encodings. Ultimately, this mathematical structure helps attention mechanisms account for relative token distances during training.

    DEPTH ■■■■■13 min read12 days ago

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  7. Build your slide template

    Presenters often struggle with the visual design of slides and default to cluttered or uniform corporate templates. To build a better presentation foundation, the author recommends sticking to a restricted color palette, limiting the number of fonts, and using minimal layouts without unnecessary floodmarks like page numbers or logos. This approach results in a cohesive visual identity that provides greater flexibility during slide construction.

    DEPTH ■■■■■11 min read11 days ago

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  8. EP230: RAG vs Agentic RAG

    This post provides brief conceptual overviews of several engineering topics, including traditional RAG versus Agentic RAG, OAuth versus OIDC, and the standard Linux directory structure. Traditional RAG relies on a single retrieval step, whereas Agentic RAG allows iterative searches and tool selection until sufficient evidence is gathered. The text outlines how OAuth handles authorization and OIDC adds user authentication, alongside a breakdown of core Linux directories like boot, dev, bin, and etc.

    DEPTH ■■■■■3 min readyesterday

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  9. Bliki: Sensible Default

    The engineering post introduces the concept of a sensible default as an alternative to best practices in software development. Sensible defaults serve as reliable starting points for tasks in the absence of hard constraints, while still allowing teams to adapt and override them when context requires. Organizations like Thoughtworks utilize playbooks of these defaults to guide initial work while encouraging regular reflection and adjustment.

    DEPTH ■■■■■2 min read3 weeks ago

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  10. Fragments: September 29

    This post discusses observations on coding agents, focusing on their persistence, the role of training material in hacking behavior, and the need for greater safety measures and liability. It examines experiments with unlimited tokens and explores regulatory and educational perspectives on agentic AI.

    DEPTH ■■■■■4 min read3 weeks ago

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  11. EP229: 8 Chunking strategies for RAG-based agents

    The post provides brief, high-level overviews of various software engineering concepts including eight chunking strategies for RAG, the architecture of Google Translate, agent skills workflows, and the structural differences between PostgreSQL and MySQL. It touches upon how these different components and techniques function theoretically without deep benchmark comparisons. The content serves as a summary refresher on multiple system design topics.

    DEPTH ■■■■■3 min read8 days ago

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  12. EP228: How SSH Works

    This engineering newsletter covers the fundamentals of how SSH establishes secure remote connections through TCP, key exchange, and authentication. It also outlines key techniques for efficient LLM serving, the core anatomy of AI agents, and a structured approach to building evaluation systems.

    DEPTH ■■■■■6 min read3 weeks ago

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