Build the system around the agent.
Rom Iluz has shipped 68 open-source repos, built CC10x (153 stars), and leads Israel's largest agentic-engineering community. His keynotes teach senior developers to design harnesses and workflows that encode their own constraints, skills, evidence, and control loops.
The proof is in the code.
CC10x, Hybrid-Search-RAG, WhatsApp AI, Memongo, Auto-Pi — production systems with real users and real stars. Keep scrolling to see the work.
The systems behind the talk.
68 public repositories. Thousands of developers using the tools. A community where the patterns are challenged and refined in the open. These are the projects that prove the ideas work — not in theory, but in production.
CC10x
The Loop Engine for Claude Code. One router, nine specialist agents, sixteen skills, and four evidence-gated workflows. Fail-closed gates, test honesty, and anti-anchored independent review — so the agent can't grade its own homework.
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Hybrid-Search-RAG
Production hybrid search combining keyword and semantic retrieval. Built for real RAG pipelines where precision matters more than benchmarks.
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WhatsApp AI
AI agents that handle real conversations on WhatsApp. Production-deployed, handling actual user interactions at scale.
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Memongo
MongoDB-native long-term memory for production AI agents. Vector search, episodic memory, and durable state that survives across sessions.
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Auto-Pi
A second harness implementation on a different coding agent (Pi). Same system idea, different host — proving the pattern transfers. 10 packages, 59 skills, 10-step autonomous workflow, zero bloat.
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ClawMongo-x
A MongoDB-native tool for agents that need reliable, structured access to their data layer. Built for production systems where data integrity is not optional.
View on GitHub →Bring this to your engineering team.
Senior developers leave with a system they can design, build, and verify for themselves — not a set of tricks that stop working when the model changes.
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