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Dimitri Tombroff
Continuous Evaluation, Made Visible: fred-agent-evaluator in Action
The Admin of a Fred team is accountable for how its agents behave — but accountability without visibility is just exposure. fred-agent-evaluator is what gives that accountability something to stand on, including custom, business-specific checks an Analyst can define just by describing them.
July 9, 2026 in agents, evaluation by Odelia Cohen, Dimitri Tombroff and Thomas Delavallade8 minutes
AI as an Engineering Partner — and How We Stay in Control
Fred is a full cloud-native agentic platform: speed and batch layers, Temporal workflows, identity propagation, ReBAC authorization, observability. We use AI assistants — for code, but also for backlogs, RFCs, and PMO tracking. This post is an honest account of the guardrails we built into the repository so that the humans, not the assistants, stay in control of a robust, industrial, maintainable application.
July 8, 2026 in engineering, ai by Dimitri Tombroff, Simon Cariou and Yahya Zaim Mounajed8 minutes
Beyond Agent Framework Wars: Fred and the Infrastructure Layer
Fred does not compete in the agent framework wars; it focuses on the production infrastructure layer for governed agent execution.
February 21, 2026 by Dimitri Tombroff13 minutes
Durable AI Agents: Orchestrating the Future with Fred and Temporal
Fred extends its existing agentic backend with a Temporal-powered execution path for long-running tasks. Workflows remain resilient through retries, heartbeats, and durable state, while agent contracts and tool boundaries stay explicit and portable.
February 4, 2026 in architecture, ai by Dimitri Tombroff and Simon Cariou6 minutes
RAG That Pulls Its Weight: How Fred’s Retrieval Stack Leveled Up
Fred’s latest release strengthens retrieval: Lucene HNSW with cosine, semantic/hybrid/strict modes, corpus/global scope controls, chunk visibility, and attachment summaries injected into context. This post explains the why and the how.
December 11, 2025 in platform, update by Romain Perennes, Dimitri Tombroff and Simon Cariou5 minutes
MCP vs REST for RAG in Fred: Why We Run Both
Fred uses REST for graph-driven RAG (Rico, Rico Pro) and MCP for tool-driven RAG (Dominic). Running both lets us measure latency, reliability, governance, and developer ergonomics—without changing our UI or schemas.
August 17, 2025 in architecture, agents, rag by Thomas Hedan, Simon Cariou, Alban Capitant and Dimitri Tombroff4 minutes
Ingest Smarter, Not Harder — Fred Gets a Temporal Brain
Thanks to Temporal, Fred makes document ingestion as reliable as microservices — with automatic retries, fine-grained observability, and custom pipelines for push or pull ingestion. A true game-changer for AI apps.
July 20, 2025 in architecture, ops, orchestration by Alban Capitant, Simon Cariou, Florian Muller and Dimitri Tombroff5 minutes
Bridging the Dev DevOps Gap with AI Deployment Review
Instead of relying on fragile regex scripts or complex linters, Fred uses AI to catch mismatches between backend code and Helm deployments. This makes deployment safer and helps teams move faster.
July 14, 2025 in devops, configuration-management, ai-review by Dimitri Tombroff4 minutes
Using AI to Enforce Code Quality in Fred
We use GPT-4 internally to automate Python code reviews and ensure compliance with Fred's backend development standards. Learn how our AI review tool works and why it matters.
June 20, 2025 in devops, configuration-management, ai-review by Dimitri Tombroff5 minutes
Expanding Fred with MCP: A Playground for Next-Gen Agentic Architectures
Fred is now capable of serving and consuming components over the Model Context Protocol (MCP). Discover how this unlocks new architectures and makes Fred a live testbed for building interoperable AI agents.
May 19, 2025 in architecture, mcp, open-source by Simon Cariou, Alban Capitant and Dimitri Tombroff6 minutes