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I'm looking for AI-based tools that can help me understand a system's legacy components. Ideally, I would provide the source code, and the model would generate text or diagrams that explain the code's underlying business rules as much as possible.

The broad range of existing LLM tooling seems to focus specifically on the code generation part, but I'm not interested in getting generated code. I love to code, so I would like these models to help me in the boring part of understanding legacy code before the modernization.

The only relevant article I have found so far is https://martinfowler.com/articles/legacy-modernization-gen-ai.html . However, it's based on a private tool by Thoughtworks.

Comments URL: https://news.ycombinator.com/item?id=42196370

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Article URL: https://github.com/argilla-io/argilla

Comments URL: https://news.ycombinator.com/item?id=42196361

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Article URL: https://grimminck.medium.com/json-smuggling-a-far-fetched-intrusion-detection-evasion-technique-51ed8f5ee05f

Comments URL: https://news.ycombinator.com/item?id=42196360

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Article URL: https://thehustle.co/originals/the-thriving-business-of-looking-good-on-zoom

Comments URL: https://news.ycombinator.com/item?id=42196355

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Article URL: https://www.roadtovr.com/quest-3-pairing-windows-11-release-date/

Comments URL: https://news.ycombinator.com/item?id=42196348

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Article URL: https://www.justice.gov/opa/pr/brothers-residing-new-york-and-bangladesh-charged-running-digital-streaming-piracy-scheme

Comments URL: https://news.ycombinator.com/item?id=42196333

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Article URL: https://www.justice.gov/opa/pr/california-man-sentenced-acting-illegal-agent-peoples-republic-china-government-and-bribery

Comments URL: https://news.ycombinator.com/item?id=42196321

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Article URL: https://lws.io/blog/you-got-this-closing/

Comments URL: https://news.ycombinator.com/item?id=42196306

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From the post:

Blossom is an open-source robot platform for human-robot interaction (HRI) research that I developed during my PhD. I’ve used Blossom for research in design, machine learning, and telepresence; others have made Blossoms for their own research purposes. I have continued working on “rebuilding” the entire platform: I redesigned the inner frame as a model kit, complete with Gunpla-inspired runners and instructions, and refactored the codebase as r0b0, a Python library for communicating between hardware peripherals and software applications. In preparation to present Blossom at Maker Faire Coney Island, I refined the telepresence interface and enabled conversational interaction with a language model. The new repository is available on GitHub and includes documentation for construction.

Comments URL: https://news.ycombinator.com/item?id=42196226

Points: 7

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Article URL: https://studyfinds.org/egg-came-before-chicken/

Comments URL: https://news.ycombinator.com/item?id=42195897

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Article URL: https://www.youtube.com/watch?v=V95Vg2pVlo0

Comments URL: https://news.ycombinator.com/item?id=42195896

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Article URL: https://news.mit.edu/2024/mit-tuition-undergraduates-family-income-1120

Comments URL: https://news.ycombinator.com/item?id=42195895

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Article URL: https://github.com/VaibhavAcharya/oneprompt

Comments URL: https://news.ycombinator.com/item?id=42195874

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Hey all! Thought this group might find this interesting - new approach to evaluating RAG pipelines using 'agents as a judge'. We got excited by the findings in this paper (https://arxiv.org/abs/2410.10934), about agents producing evaluations closer to human-evaluators, especially for multi-step workflows.

Our first use case was RAG pipelines, specifically evaluating if your agent MISSED pulling any important chunks from the source document. While many RAG evaluators determine if your model USED its chunk in the output, there's no visibility on if your model grabbed all the right chunks in the first place. We thought we'd test the 'agent as judge', with a new metric called 'potential sources missed', to help evaluate if your agents are missing any important chunks from the source of truth.

Curious what you all think!

Comments URL: https://news.ycombinator.com/item?id=42195858

Points: 2

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Article URL: https://www.sapiens.org/biology/lucy-australopithecus-afarensis-lessons/

Comments URL: https://news.ycombinator.com/item?id=42195854

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Article URL: https://theconversation.com/cells-have-more-mini-organs-than-researchers-thought-unbound-by-membranes-these-rogue-organelles-challenge-biologys-fundamentals-239558

Comments URL: https://news.ycombinator.com/item?id=42195842

Points: 3

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Article URL: https://www.wsj.com/sports/chess-magnus-carlsen-fabiano-caruano-world-championship-e54c9fc5

Comments URL: https://news.ycombinator.com/item?id=42195833

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Article URL: https://research.ibm.com/blog/patcid-tool-for-accelerating-materials-discovery

Comments URL: https://news.ycombinator.com/item?id=42195830

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Article URL: https://newscenter.lbl.gov/2024/10/30/exploring-the-cost-and-feasibility-of-battery-electric-ships/

Comments URL: https://news.ycombinator.com/item?id=42195817

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Article URL: https://www.cnbc.com/2024/11/19/microsoft-introduces-windows-365-link-for-cloud-based-desktops.html

Comments URL: https://news.ycombinator.com/item?id=42195793

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