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203 articles
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…
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.
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…
Microsoft will scale its Maia accelerator family to multi gigawatt deployments from 2027, making it the primary inference system for its own products. Maia 300 collapses scale up and scale out onto one Ethernet fabric and moves KV state between prefill and decode workers without leaving it. Practitioners have…
We put NVIDIA's new Vera CPU through its paces using the full TPC H workload on scale factor 1,000.
Today, Meta is releasing the weights for Muse Spark Open, the most capable US open weights model to date. It’s available today on Hugging Face under the Muse Model License. Muse... The post Muse Spark 1.2 Is Now Open Weights appeared first on PyTorch .
Instagram Direct migrated its Android UI from the legacy Android View system to Jetpack Compose, creating an AI native UI codebase that is easier for AI coding agents to understand, modify, and maintain. According to Instagram engineers, the migration reduced UI code volume by 50% and token costs per AI agent session…
TL;DR Deploying PyTorch models on microcontrollers has historically required converting to other framework formats, maintaining separate toolchains, and debugging cross framework numerical mismatches. ExecuTorch eliminates this conversion step entirely. The Cortex M... The post Bringing ExecuTorch to Arm Cortex M…
The KotlinConf 2027 Call for Papers is now open! We invite developers from across the Kotlin community to bring their ideas, experiences, and expertise to the stage in Kraków. Do you have a Kotlin lesson or discovery that could help other developers? Perhaps you solved a difficult technical problem, introduced Kotlin…
Authors: Divya Gadde , Ko Jen Hsiao , Dhaval Patel and Moumita Bhattacharya The motivation for building the Netflix Foundation Model for personalization was laid out in this previous blog post. The Netflix homepage is powered by several specialized models and it requires significant time and resources to maintain and…
In September, we experienced two incidents that resulted in degraded performance across GitHub services. The post GitHub availability report: September 2026 appeared first on The GitHub Blog .
By Oleksii Tkachuk , Rajiv Shringi , Chris Lohfink , Abe Ratnofsky , Kartik Sathyanarayanan Introduction In an earlier post , we introduced the TimeSeries Abstraction, our high throughput, low latency platform designed to store and query temporal event data at scale. It has since become the operational backbone for…
Netflix Conductor : The Next Chapter by Aravindan Ramkumar on behalf of the Conductor team Conductor is the workflow orchestration engine Netflix uses to stitch micro services into reliable, observable business processes. If you’ve followed Conductor from the outside, the last thing you heard was probably the note on…
Ridgeline rebuilt its performance analytics on ClickHouse Cloud, querying decades of Iceberg history alongside recent data so it can serve investment managers 10x larger than before and more than double the customers live on its platform.
While adding MySQL support to Hyperdrive, we found a subtle protocol bug when caching query results. Here is how we tracked down a 0.001% rate error and made Hyperdrive MySQL generally available.
ClickHouse Cloud delivered 1,996× better performance per dollar than Redshift Serverless in CostBench. We trace the gap from fresh data arriving to fast answers coming back.
Go 1.27 includes a change to the HTTP client that can make programs sending many sequential HTTP/1 requests significantly faster.
GitHub’s context aware secret classifier improves detection quality, raises weighted acceptance by 11.5%, and reduces median scan execution time by 86%. The post GitHub’s model for secret detection: Finding more secrets with less noise appeared first on The GitHub Blog .
Our strategies to optimize our data pipeline throughput without compromising data quality.
TL;DR The PyTorch based software stack for IBM’s Spyre accelerator recently moved its torch.compile backend from sendnn, a separate compilation stack built entirely from scratch, to backend=inductor, an open source backend built... The post Extending Inductor for the IBM Spyre Accelerator appeared first on PyTorch .
