۲۴ مهر ۱۴۰۵
هر نوشته تازه از همه منابع، جدیدترین اول.
Google researchers open sourced EnvHarness, a framework that dynamically adapts agent training environments to an agent's weaknesses without modifying the agent, environment, or evaluation system. According to the researchers, this approach can improve both learning effectiveness and efficiency while helping agents…
Introducing interactive refactoring in gopls and the LSP: a new capability that brings dynamic, multi step refactorings into your favorite editor.
Why Zephon? The data that a model sees during training is one of the most powerful levers we have for influencing how well it performs. Much of the day to day work... The post Bringing Elastically Deterministic Data Loading to TorchTitan with Zephon appeared first on PyTorch .
Prasanna Vijayanathan , Renzo Sanchez Silva When Jake Paul and Mike Tyson stepped into the ring in November 2024, we delivered the fight to roughly 65 million concurrent streams. On an ordinary day our infrastructure takes in more than 2 billion requests and handles upwards of 38 million real time logging events…
The 2026 Stack Overflow Developer Survey shows only 7% of developers trust AI output for important decisions. Here’s what that means for running agents safely.
Zod is a TypeScript focused schema validation library that recently released versions 4.5 and 4.6. Key updates include schema compilation for faster data parsing, significant memory usage reductions, and new validation features. The library supports efficient validation processes and remains popular in the JavaScript…
ClickHouse’s new native TCP client for .NET brings faster reads and inserts with fewer allocations, columnar APIs, POCO support, and a path to migrate from HTTP.
How we used Partial Prefetching and a coding agent to improve navigation across v0 with Next.js 16.4.
Uber has developed an automated dependency analysis system that uses RPC middleware and production metrics to correlate caller and downstream failures. The approach classifies dependencies as fail close, fail open, or unknown and addresses limitations of sampled distributed tracing for rare failures across Uber’s…
A recent InfoQ webinar examined operational challenges in deploying agentic systems. Key points included issues like semantic and embedding drift, which can lead to significant errors. Experts discussed the need for automated code reviews, continuous evaluation of models, and enhanced privacy measures. The session…
One RSS reader, on every device you own, no algorithms invited.
Identity alone doesn't guarantee a bot will behave responsibly. We are introducing a system to continuously evaluate whether Verified bots honor site preferences, like robots.txt and HTTP 429s, ensuring they remain accountable over time.
Stripe Data Pipeline now supports real time sync to Postgres. Connect Neon from the Stripe Dashboard and query live payment, subscription, and customer data next to your app data, without building API or webhook integrations.
Grafana Labs is proposing a familiar reliability engineering approach for one of the less familiar problems in modern software: how to measure whether an AI agent is actually behaving well. By Craig Risi
Discover how to keep software evolvable as systems, technology, and teams shift. This edition explores agentic fitness functions for semantic drift, treating human comprehension as a core design metric, cross cloud guardrails for regional autonomy, and aligning technical boundaries with Conway’s Law. Move beyond…
The release of Helidon 27 is the first release that follows the Oracle Tip & Tail Model of Library Development by which the Tip adopts the latest Java technology while the Tail provides a more stable and secure baseline. Concurrent with the release of JDK 27, new features in Helidon 27 include: an introduction to new…
Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, covering non deterministic agent behavior, GPU supply chain vulnerabilities, shared compute risks, and practical defense strategies from prompt firewalling to agentic…
AWS has introduced two open source projects for AI agent development: Strands Decider 2B, a small model designed to make decisions within agent workflows, and Strands Box, a sandbox for controlling agent execution. Both projects address different aspects of building agents that use tools, execute code, and interact…
What can digital transformation teach us about AI adoption? Paul Boag revisits his book Digital Adaptation to show how lessons from the past can help organizations navigate the challenges of AI today. AI Workflow Business
Software supply chain security company Chainguard has announced two beta products for running and testing code written by developers and AI agents. Chainguard Workspaces provides remote development environments based on hardened microVMs, while Chainguard Checks moves continuous integration into the development loop.…
