Pyrafect

What it does

Pyrafect combines AI and risk-based analysis to identify high-risk issues, streamlining bug fixes so you can focus on delivering a stable user experience.

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  PylarDec 2025 · pylar.ai · ▲502

  Hey HN! We're Hoshang & Vishal, the team behind Pylar - a governed access layer between databases and LLMs. We previously led data and AI and we kept seeing the same problem across teams using LLMs internally: agents are great with unstructured data, but the moment you want them touching your actual systems of record — Snowflake, Postgres, CRMs, product DBs — everything becomes fragile, risky, or outright unsafe. Two issues show up every single time: 1. Agents over-querying They don’t understand cost. They’ll happily generate queries that blow up your warehouse bill. 2. Accidental data…

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  RaptorCIApr 2026 · getraptorci.com · ▲99

  Hello! With more and more AI coding agents popping up and companies expecting higher output have you noticed more issues in production or other bottlenecks? I’m a principal engineer at a leading cybersecurity company and we have a very lean engineering team and the expectations have shifted to us using AI to increase productivity instead of hiring. The result has been production becoming the most unstable it has ever been and bottlenecks around testing and releasing as we don’t have the resources to cope. I spent a few weeks of thinking of ways that AI could help our full SDLC and one thing…

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  A curated list of insecure Python packages2016 · github.com · ▲94

  A curated database of insecure Python packages. Contribute to pyupio/safety-db development by creating an account on GitHub.

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  zodiac, a new approach to monkey patching in python2012 · github.com · ▲39

  A monkeypatching library for python. Contribute to colinmarc/zodiac development by creating an account on GitHub.

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  P0 – Yes, AI can ship complex features into real codebasesMar 2026 · bepurple.ai · ▲94
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