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July 30, 2026· ~6 min read

Applying the CaRE Protocol to Agent Benchmarks: Compute-Aware Evaluation for Skill and Memory Harnesses

We applied the CaRE compute-aware evaluation protocol (arXiv:2607.24763) to our agent benchmark suites — Agent Skill Bench and AMBench.…

CaREBenchmarkingLLM-EvaluationAI-Agents+4 more

July 30, 2026· ~6 min read

Beyond Memory: A Templated Substrate for Collaborative Knowledge Work with LLM Agents

How a templated substrate architecture enables heterogeneous LLM agents to collaborate on knowledge work — research synthesis, literature reviews,…

LLM-AgentsKnowledge-Work

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Multi-Agent

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July 30, 2026· ~7 min read

GCC Steering Committee Announces AI Policy: What It Means for AI-Generated Code

The GCC steering committee has announced its official AI policy — governing AI-generated code contributions to the GNU Compiler Collection.…

GCCCompilerAI-CodeOpen-Source+5 more

July 30, 2026· ~6 min read

Gemini API Managed Agents: 3.6 Flash, Hooks, and Serverless Agent Orchestration

How Google's Gemini API managed agents — now with 3.6 Flash support and lifecycle hooks — let you deploy persistent, stateful AI agents without managing…

GeminiGoogleManaged-AgentsAI-Agents+4 more

July 30, 2026· ~6 min read

Kernel Forge: An Agent Harness for LLM-Based CUDA Kernel Generation and Optimisation

How Kernel Forge uses a multi-agent harness to generate, compile, profile, and iteratively optimise CUDA kernels from natural language descriptions —…

CUDALLMGPUKernel-Generation+4 more

July 30, 2026· ~6 min read

Explicit Prompt Caching for OpenAI GPT-5.6 on Amazon Bedrock: Architecture and Patterns

How Amazon Bedrock's explicit prompt caching for GPT-5.6 Sol, Terra, and Luna models reduces inference costs by up to 70% and latency by 50% — and how…

OpenAIGPT-5.6BedrockAWS+4 more