GROUNDING

2026-06-13

4 min read

🛰 AI Brief — 13 June 2026

🥇 architect-loop: Orchestrated Agentic Coding Workflow · prio 11

This project offers a practical, replicable model for manager-worker agent architectures in software development, highlighting how isolation and explicit gates improve reliability compared to naive shared-context agents. github.com · 7 sources · Agents Code Agents Tool Use Context Engineering OpenAI Anthropic GitHub Codex

🥈 Building and Benchmarking a Food Recognition Pipeline · prio 11

This post demonstrates a practical application of the ‘LLM-as-a-judge’ pattern for benchmarking domain-specific computer vision tasks, providing a concrete example of how to build and validate custom evaluation pipelines. It highlights the importance of creating domain-specific ground truth datasets rather than relying solely on generic model confidence scores. habr.com · LLM Evals Stanford OpenRouter Roboflow Gemini 2.5 Flash

🥉 Optimizing Knowledge Graphs with LightRAG for Legal Domain Applications · prio 10

The article provides a practical, systematic approach to improving the reliability and topological structure of GraphRAG systems in specialized domains, moving beyond ‘out-of-the-box’ implementation towards production-grade retrieval. habr.com · RAG Supreme Court of the Russian Federation

4️⃣ Ollama Continues to Expand Model Support and Integration Ecosystem · prio 10

Ollama remains essential infrastructure for AI builders needing to test, integrate, and run open-source models locally without external API dependence. Its extensive integration list demonstrates the maturity of the local LLM stack for diverse applications, from coding assistants to personalized agents. github.com · 2 sources · Open Source LLMs Tool Use Ollama Docker Claude WhatsApp Telegram Slack

5️⃣ Connecting Obsidian to LLMs via MCP for Seamless Context Access · prio 10

This demonstrates a practical, low-effort approach to bridging local knowledge bases with agentic workflows using the Model Context Protocol (MCP). It shows how to standardize access to local file structures as tools, which is directly applicable to improving context quality in AI-coding assistants. habr.com · MCP Tool Use Agent Memory Obsidian OpenAI Cursor

⚠️ Knowledge Gaps

Context Engineering · RAG · Agent Memory

Graph View

Backlinks