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    Hi HN, I'm Antoine Zambelli, AI Director at Texas Instruments. I built Forge, an open-source reliability layer for self-hosted LLM tool-calling. What it does: - Adds domain-and-tool-agnostic guardrails (retry nudges, step enforcement, error recovery, VRAM-aware context management) to local models running on consumer hardware - Takes an 8B model from ~53% to ~99% on multi-step agentic workflows without changing the model - just the system around it - Ships with an eval harness and interactive dashboard so you can reproduce every number I wanted to run a handful of always-on agentic systems…

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    Shameless plug for the functionality my team shipped to beta just before Christmas. For context, Forge is Atlassian's product extensibility framework that lets you write your own plugins (for lack of a better word) for our cloud SaaS products: https://developer.atlassian.com/platform/forge/ Coming up in a few weeks from another of my teams will be a feature we call "Dynamic Pipelines" which will let you use a similar Forge lambda function to mutate/generate Bitbucket Pipelines workflows at runtime.

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