architecture

This paper introduces V-Simba, a visual RL architecture that adds normalization layers and pointwise convolutions to improve sample efficiency and stability. It matches or outperforms state-of-the-art methods across DMC, Adroit, and Meta-World benchmarks while being more computationally efficient than DrQ-v2.

An annotated from-scratch reimplementation of Google's DiffusionGemma, a 26B open-weight state diffusion language model, explaining its architecture, sampling procedure, and design choices.

A technical breakdown of an enterprise Voice AI architecture that cuts telephony costs by 40-60% via wholesale carriers and achieves sub-500ms latency using Deepgram, Claude/GPT-4o-mini, and ElevenLabs/Cartesia, orchestrated through n8n and Supabase.

Pathway's BDH, a post-transformer architecture, reportedly matches GPT-2 scaling from 10M to 1B parameters while training from scratch on standard GPUs.

In an AI Engineer talk, Cognition co-founder Walden Yan recommends against multi-agent systems, saying they are fragile and that the team behind Devin now uses a single agent with coherent context.

An opinion piece that critically deconstructs the architectural illusion of AI agent autonomy, arguing that chain-of-thought and multi-agent systems are just text prediction tricks orchestrated by scripts, not genuine reasoning or independence.

A tweet from @venkateshdotdev listing 10 challenging system design interview questions covering URL shorteners, scaling, consistency, rate limiting, fault tolerance, and handling traffic spikes.

Raises concerns that MCP servers may introduce new architectural dependencies, questioning whether agents tied to specific server auth and implementations are truly portable.

Explains the AT Protocol architecture through the lens of distributed systems engineering, covering the shift from SQL to NoSQL to stream processing, and how AT Protocol externalizes these services for a decentralized backend.

Introduces The Architect, a Claude Code plugin that generates a complete project blueprint through interviews before writing code, supports 14 project types, and helps avoid architecture going off track and rewriting from scratch.

A tweet compiling engineering blogs from 40 top tech companies for learning system design and architecture from real-world production playbooks.

An analytical critique of NVIDIA's Vera whitepaper, examining the Olympus core's impressive architecture while arguing that the paper's anti-x86 narrative and benchmark claims are overstated, with independent testing suggesting the hardware is genuinely strong.

An independent developer updates the AttnRes project: replacing standard residual stream with attention-based routing, distilling from Gemma 4 31b via a weaning schedule and top-K logits, with plans for an Apache 2.0 community model.

Google Developers shares five architectural tips from the developer community for building better, more dependable AI agents, presented as a thread.

Intern-S2 Mobius is a Qwen3.5-35B derived model with an architectural difference claimed to improve throughput and reduce token consumption.

A detailed blog post by Arya Dradjica describing the design of a query system for Krabby, a Rust compiler. The article explains why a pull-based architecture is preferred over a push-based one, and outlines the desired features.

Su Jianlin reviews the K3 architecture, focusing on the combination of KDA + MLA + Stable LatentMoE + AttnRes. He explains the design trade-offs, MoE stability improvements, why MLA was kept, and the relationship between DSV4 and MLA.

Kiro's engineering team explains how they consolidated three client-specific agent harnesses (IDE, CLI, web) into a single agent harness to enable seamless session continuity across laptop, cloud, and mobile surfaces.

OpenAI announces GPT-Live, a new architecture and stack for realtime audio that enables listening while speaking, with continuous audio flow for deeper reasoning and tool use without interrupting conversation.

The article argues that retrying messages in eventually consistent distributed systems treats normal state as failure, and instead suggests storing incoming data and processing when all prerequisites arrive, eliminating the need for retries and dead-letter queues.