AI11 min read
Together Link Connects Coding Agents to Open Models
Together AI released a free CLI tool that routes coding agents like Claude Code to open models.
From MarkTechPost
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AI11 min read
Together AI released a free CLI tool that routes coding agents like Claude Code to open models.
From MarkTechPost
Agents9 min read
AWS released a new skill that turns coding agents into SageMaker inference experts. Engineers can now generate executable code to benchmark models and optimize deployments.
From AWS machine learning blog
Photo: Yan Krukau
Together AI launched Together Link to connect popular coding agents with high-quality open models. This setup cuts engineering spend by over 50% while keeping the same workflow.
From Together AI blog
AI1 min read
Astra leads computer use, Argon leads legal and finance work, and Sol wins on price for coding agents. The post GPT-6 Astra vs GPT-6.1 Sol vs Gemini 4 Argon vs Claude Fable 5.1: Which Frontier Model Fits Which Job appeared first on MarkT...
From MarkTechPost
Agents2 min read
While end-to-end benchmarks like SWE-bench provide broad performance scores for AI agents, they are often expensive, slow, and lack the root-cause diagnostics needed to explain exactly where an agent's logic broke down. To solve this, de...
From Google AI developers blog
LLMs1 min read
Building an agent is getting easier. More capable models and coding agents are making...
From Databricks blog
AI1 min read
We read the contracts behind GitHub Copilot, AWS Kiro, Cursor, Devin and Windsurf. Copilot and Kiro offer uncapped indemnity on generated code. Cognition's standard terms exclude outputs entirely. Here is how 500 seats compare on legal e...
From MarkTechPost
Agents1 min read
Deploy production-ready Hugging Face models on Amazon SageMaker AI using six open-source agent skills. Point a coding agent at a model and get back a real-time endpoint with the right serving container, autoscaling, Amazon CloudWatch ala...
From AWS machine learning blog
LLMs1 min read
A global fintech runs GLM 5.2 on Together's Dedicated Model Inference to handle spiky traffic.
From Together AI blog
AI1 min read
A new WhatsApp Business MCP server lets developers use AI coding agents like Claude, Cursor, Codex, and ChatGPT to handle setup, messaging templates, testing, and troubleshooting.
From TechCrunch AI
Agents1 min read
Credit Genie utilizes OpenWiki to automatically maintain and update codebase documentation, reducing reliance on individual knowledge and providing searchable context for engineering models and agents.
From LangChain blog
Research1 min read
The $ au^ au$-bench evaluates agent building from real business data, requirements, and APIs, measuring performance across multiple tasks to reflect real client engagement conditions.
From arXiv cs.AI
LLMs1 min read
OpenAI's research efforts have accelerated significantly in 2026, with increased use of coding agents and internal model access, notably after late July when GPT-6 Astra was released to employees.
From Simon Willison
Models1 min read
OpenAI shares early data on how coding agents are impacting research velocity, task complexity, and agent usage within the organization.
From OpenAI news
LLMs1 min read
Blender can be used with coding agents on macOS by installing the full application and running prompts via ChatGPT Codex. This enables scene rendering with API-based control.
From Simon Willison
LLMs1 min read
Hugging Face announced new memory capabilities for coding agents, enabling them to retain information across sessions. This enhancement aims to improve agent performance and context handling.
From Hugging Face blog
Agents2 min read
GitHub Copilot’s improvements focus on reducing unnecessary context and formatting, rather than simply minimizing token usage. This approach, validated through agentic coding benchmarks and controlled experiments, delivers cost savings without sacrificing task quality.
From GitHub blog: AI & ML
LLMs1 min read
NVIDIA ALCHEMI Toolkit utilizes AI coding agents to streamline atomistic simulation workflows, combining scientific knowledge with compute-efficient implementation. This enables faster, more accessible materials research by providing accessible interfaces for simulation.
From NVIDIA technical blog
Agents2 min read
Following an analysis of 10,000 job postings and expert interviews, Andrew Ng outlines four key AI engineering skills: building and deploying AI applications, software engineering fundamentals, using coding agents effectively, and shaping the build process. This update reflects the evolving landscape of AI development, particularly the rise of coding agents and agent harnesses.
From Latent Space
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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