architecture

Tigris details migrating async tasks from a FoundationDB-based QuiCK-style queue to Kafka to reduce read/write load and custom code, while keeping some queues in FoundationDB to avoid the dual-write problem.

A practitioner shares the architecture for trustworthy quoting agents: the LLM only extracts specs from messy customer messages at temperature 0, nulls become follow-up questions, pricing is done by a deterministic code engine with regression tests, and a human approves every quote before it goes out.

作者在为财务智能体添加 Agent Skills 支持时，总结了三个需要分离的架构决策：服务器端加载方式、模型上下文可见性、以及工具可用时机，并指出技能加载只教工作流而非安装能力。

The article introduces Deser, a new Rust serialization library designed to address limitations in Serde by rethinking its architecture. It highlights issues with Serde's design and presents Deser as an alternative inspired by miniserde.

This paper systematically studies when recurrence helps in looped language models (LoopLMs), finding that extra recurrence can improve reasoning beyond the training horizon but degrade knowledge retention, and proposes channel-wise history-state injection with timestep conditioning as a more robust design for variable inference budgets.

The paper proposes a five-layer implementation architecture for the S3Q theory of machine consciousness, composing published computational primitives into a pipeline to achieve simultaneous situatedness, simulation, and structural coherence conditions for qualia.

The author describes building a small business operations system using only an iPhone and AI tools like ChatGPT, detailing the architecture and seeking feedback on potential failure modes.

A 10-step architecture blueprint for building a 'company brain' using JEV and Opus 5.5 models, emphasizing cost efficiency, typed outputs, and optimized context handling for decision-making.

Kent C. Dodds agrees with DHH that AI models are proficient at tasks like architecture, not just code writing, challenging the idea of retreating from coding.

This article provides a detailed guide on using the Jev AI model cost-effectively through batch queries and its stateful billing mechanism, with specific configurations and code examples.

Guillermo Rauch discusses the @eve architecture and how the @v0 harness works, with plans to recommend libfx on Vercel.

The article analyzes Jev and the open decision-model ecosystem, focusing on how it transforms agent architectures by enabling heterogeneous inference, which could reduce costs and automate semantic decisions in production AI systems.

This article provides an update on the Engram model, detailing its 2.6b parameter architecture with a large Engram table and initial training progress at 100m tokens, showing improved completions with context-aware data offloading.

An interactive web-based atlas providing worked examples and architecture diagrams for common system design problems like Twitter feed and chat systems.

This article presents a simple test to distinguish between AI agents and traditional workflows based on runtime decision dependency, discusses architectural trade-offs, and highlights common production failures in agentic systems.

The Lucas Museum of Narrative Art, founded by George Lucas, has opened in Los Angeles with a $1 billion cloud-like building, showcasing diverse narrative art from prehistoric times to modern screen art, including Star Wars memorabilia.

A tool called drawio-skill enables AI-powered generation of Draw.io diagrams, including reverse-engineering from codebases, with multiple templates and export options.

Describes a conversational AI system that uses Typesafe's Jev non-generative model to select from pre-written responses through parallel classification and scoring, providing a cost-effective and transparent alternative to generative LLMs.

A solo operator describes using an AI agent named Vesper to manage a paid-work platform called DeedSpring, where humans receive payment for verified real-world deeds, and shares insights on the system's architecture and the value of agent consistency and transparency.

The open-source project system-design-101, created by the ByteByteGo team, simplifies system design interview knowledge points through architecture diagrams, has received 84.1k stars, and is suitable for interview preparation and team training.