Tech News
fx :Tiny, open, native coding agent.
fx is a tiny, open-source coding agent harness written in Zig, optimized for research and embeddability, with a 6.39MB binary and Unix-shell-like CLI.
How AI Coding Agents Can Unlock Materials Simulation with NVIDIA ALCHEMI Toolkit
Atomistic simulation requires three things: knowledge of the science, compute-efficient implementation of simulations, and accessible interfaces to the.
Implement vector-prompt document classification using Amazon Bedrock
Learn how to build a multi-agent document classification solution on Amazon Bedrock using the Strands Agents SDK.
Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things
Friday's big release was Qwen 3.8 27B, an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba's Qwen research lab.
How Much Memory Does Your Agent Actually Need?
IBM Research introduces ALTK-Evolve, a method that adaptively tunes the memory size of language model agents to match task complexity, reducing memory usage without sacrificing performance.
GitHub Repos
diegosouzapw/OmniRoute
Never stop coding.
# TypeScript# a2a# ai agentstirth8205/code-review-graph
Local-first code intelligence graph for MCP and CLI.
# Python# ai coding# claudemicrosoft/skills
Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents
# TypeScript# agent skills# agentsResearch Papers
Large Models for Small Devices: Recent Advances and Empirical Analysis of Edge AI Deployment
This paper surveys and tests various model compression techniques (like pruning and quantization) for running AI models on small devices, finding that no single method works best and that compression can sometimes hurt performance or even make models look better than they are.
ATLAS: Scaffold-Free Algorithm Synthesis by LLMs via Embedding-Guided Quality-Diversity Search
ATLAS is a new method that uses large language models and quality-diversity search to automatically design complete algorithms for combinatorial optimization problems without needing a predefined scaffold. It shows promising results on four NP-hard problems, producing diverse...
A Declarative-Procedural Perspective on Expert Routing in Bilingual Mixture-of-Experts Language Models
This paper explores whether Mixture-of-Experts (MoE) language models, which use specialized sub-networks, develop language-specific routing when learning two languages. The authors find that a model trained on mixed English-German data shows stronger specialization than one...