May 11 · 6 min read · The v1.10.0 post covered the regulated-deployment work. The five point releases since are not headline-shaped. They are the things people kept asking for in issues and the things that were quietly broken once we tried to use the orchestrator on a rea...
Join discussionMay 11 · 8 min read · This is the on-prem / regulated-deployment notes for 1.10 — mTLS cluster mode, signed lineage records, air-gapped install, a capability gate against the lethal-trifecta exfiltration class. If you're looking for "how to install it on my laptop," that'...
Join discussionMay 6 · 6 min read · When building production AI systems with CrewAI, the choice between specialist agents and orchestrator-worker patterns isn't just architectural—it's a decision that impacts cost, reliability, and scalability. Let me walk you through the concrete trad...
Join discussionMay 5 · 8 min read · Multi-Agent Orchestration in the Athar Application: Building Smarter Educational AI Teams The landscape of artificial intelligence is shifting from monolithic models to coordinated systems of specialized agents. While the industry buzzes with excitem...
Join discussionMay 5 · 8 min read · Multi-Agent Orchestration in the Athar Application Introduction: The Rise of Coordinated AI Systems In the rapidly evolving landscape of artificial intelligence, a new architectural paradigm is gaining momentum: multi-agent orchestration. Rather than...
Join discussionMay 5 · 8 min read · Multi-Agent Orchestration in the Athar Application The era of single-purpose AI agents is rapidly giving way to a more sophisticated paradigm: multi-agent orchestration. Instead of asking one large language model to handle every task end-to-end, deve...
Join discussionMay 5 · 8 min read · Multi-Agent Orchestration in Athar: Production-Ready Architectures for Eliminating AI Bias Through Collaborative Intelligence The landscape of enterprise AI is undergoing a seismic shift. As organizations move beyond single-agent chatbots toward comp...
Join discussionApr 21 · 3 min read · Bernstein is an open-source orchestrator that runs multiple CLI coding agents in parallel — Claude Code, Codex, Gemini CLI, or any other — with deterministic scheduling, per-agent git worktrees, and cost-aware model routing. Today we're releasing v1....
Join discussionApr 21 · 4 min read · Bernstein's orchestrator.py hit 4,198 lines. We used 11 parallel agents, orchestrated by Bernstein itself, to decompose it into 15 sub-packages in the first pass, each under 400 lines. Subsequent refactors extended this to 22 sub-packages. Here's how...
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