Archsense

What it does

Archsense aims to improve development processes by providing accurate and up-to-date architecture representations directly from the source code. It helps comprehensively understand the system and facilitates collaboration and alignment among stakeholders.

Archsense is a software architecture visualization tool that aims to improve software development processes by providing accurate and up-to-date architecture representations directly from the source code. It helps developers, team leaders, and architecture professionals gain a comprehensive understanding of the system and facilitates collaboration and alignment among stakeholders.

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  Archsense – Accurately generated architecture from the source code2023 · archsense.dev · ▲105

  Archsense is a software architecture visualization tool that aims to improve software development processes by providing accurate and up-to-date architecture representations directly from the source code. It helps developers, team leaders, and architecture professionals gain a comprehensive understa

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  Arch2024 · github.com · ▲314

  Hey HN — I’m Adil from Katanemo (with Salman, Shuguang, and Meiyu) We previously shared an early version of this project as ArchGW. Based on customer feedback, the scope expanded from “LLM routing and model access” into something broader: delivery infrastructure for agentic applications. We renamed it to Plano and reworked the architecture accordingly. The problem On-the-ground AI practitioners will tell you that calling an LLM is not the hard part. The really hard part is delivering agentic applications to production quickly and reliably, then iterating without rewriting system code every…

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  Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…

  AI · 2023 · github.com