PostHog / PostHog/posthog

AI-Powered Log Sampling otel-python-sdk called LipService built for posthog

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Dominant language
Python
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Description

https://github.com/srex-dev/lipservice

I built AI enhanced log sampling and other observability tools in production for my current company as well as other prototypes because I'm not a good salesperson. I'm a builder. Jon the Builder.

Let me know if you would like me to keep developing. I've pulled down posthog repo and can run mock tests based on your log patterns..I'd love to validate these results with your actual production data to prove
the value before broader adoption....that's next step besides the repo roadmap.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the linked lipservice repository and the proposal's references to PostHog log patterns and mock tests. The issue does not identify PostHog files, tests, an entry point, or acceptance criteria; maintainers would need to define the integration scope and validation requirements before work could be considered done.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
ai, observability-sre
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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