A developer argues that the traditional hourly billing model is broken for AI-assisted work, citing a METR study showing AI made tasks take 19% longer while developers felt faster. The author proposes…
Modal has rebuilt its core sandbox platform from the ground up to support 1 million concurrent sandboxes, creating all of them in under a minute. The new system removes central bottlenecks and optimiz…
Seven Python frameworks for orchestrating local AI agents are gaining adoption in 2026, according to a technical roundup. Ollama, a lightweight runtime for running open-source LLMs on local hardware, …
Sailboxes, a cloud-environment designed for long-horizon AI agents, is now generally available after a beta period, offering pricing over 70% lower than competitors with no runtime limits and full Lin…
Google launched Cloud Run sandboxes into public preview at WeAreDevelopers World Congress, enabling Cloud Run services to execute untrusted AI-generated code inside isolated gVisor-based environments …
Modal, a serverless GPU compute platform, enables users to run machine learning pipelines without managing infrastructure, according to the company's website. The platform allows developers to deploy …
On 23 June 2026, AWS launched Lambda MicroVMs, isolated VMs for executing user- or AI-generated code, with one European region and pricing roughly three times higher per vCPU than existing alternative…
OpenAI launched GPT-5.6 as a three-model family — Sol, Terra, and Luna — with Terra performing above Anthropic's Fable tier at half the output tokens and a quarter of the cost. The model introduces an…
Nous Research's open-source Hermes Agent framework gives AI agents a closed learning loop, enabling persistent memory, tool use, and scheduled tasks. An AI running on Hermes describes its environment:…
Google launched Cloud Run sandboxes into public preview at WeAreDevelopers World Congress, providing lightweight isolated execution environments for AI agents to run untrusted code at no extra cost. T…
Modal CTO Akshat Bubna argues that AI infrastructure must evolve from developer experience to agent experience, as agents require tighter feedback loops, sandboxes, and programmatic infra. Modal, whic…
A 2026 comparison of AI agent sandbox technologies evaluates isolation models from container-based Docker to microVM platforms like Firecracker and CubeVM, highlighting trade-offs in security, perform…
Anthropic released Claude Science, a multi-agent AI workbench for reproducible genomics, proteomics, and cheminformatics pipelines. The beta app runs on existing Claude models and integrates over 60 c…
Anthropic launched Claude Science, a beta app designed as a research partner for rigorous scientific work, enabling researchers to run analyses, search databases, and trace every step from data wrangl…
Anthropic launched Claude Science, an AI workbench for scientists, integrating tools like PubMed, Jupyter, and R into a single environment. The platform generates reproducible scientific artifacts, ma…
Atlarix, an agent workstation for open-weight models, resolved 42 out of 89 tasks on Terminal-Bench 2.0 compared to opencode's 39 out of 89, using the same model and identical infrastructure. The 3-ta…
A developer built an MCP server that connects Modal's serverless AI infrastructure to AI agents, allowing them to manage deployments, stop runaway jobs, and audit resources via natural language comman…
Langfuse launched code evaluators allowing users to run untrusted Python or TypeScript code in its multi-tenant SaaS environment. The company chose AWS Lambda for its runtime due to security, scalabil…
Modal introduced Servers, a new ultra-low-latency HTTP serving solution for serverless applications, built on Pingora, Envoy, and Spanner. The system minimizes overhead by avoiding control-plane looku…
A developer investigating low prompt processing throughput with Multi-Token Prediction (MTP) in llama.cpp created a proof-of-concept that recovers the overhead by processing only the output row of the…