Harness Engineering: What Makes AI Coding Agents Work in 2026
Faros AI argues that the harness surrounding a model, not the model itself, determines how reliably an AI coding agent…
Faros AI argues that the harness surrounding a model, not the model itself, determines how reliably an AI coding agent…
OpenAI and Thrive Holdings detailed a collaboration to build Tax AI, a self-improving agent built on Codex that automates preparation…
Anthropic described how its engineers use Claude Code to execute large-scale codebase migrations, citing examples such as Labs co-lead Mike…
A Hugging Face blog roundup published July 9, 2026 surveyed a week of frontier model releases, highlighting a shift toward…
Meta redesigned its blob-storage architecture to address performance bottlenecks in AI workloads by implementing a unified metadata schema backed by…
Simon Willison released llm-coding-agent, a coding agent library built on top of his LLM Python framework. The agent itself was…
Cohere Labs released Cohere Transcribe Arabic, an open-source automatic speech recognition model built on a 2-billion-parameter encoder-decoder architecture. Training data…
PyTorch-Triton 3.7 introduces a plugin extensions system that lets developers dynamically load custom compiler passes, dialects, and operations into upstream…
OpenAI audited the widely used SWE-Bench Pro coding benchmark and found that roughly 30% of its 731 public tasks are…
NVIDIA released Nemotron 3 Embed, a family of open embedding models built for enterprise retrieval and agentic AI systems, with…
The Ai2 team detailed the architecture behind Shippy, a maritime AI agent, which they split into a system-prompt-defined soul, markdown-file…
IBM Research argues that routing requests among multiple LLMs in agentic systems is more complex than simple task classification, since…