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Kevin Lin

Personal blog · bit.kevinslin.com · on HN as kevinslinsystemsprogramming

Kevin Lin writes Bit by Bit, a personal blog at bit.kevinslin.com about systems and programming. Since 2023, 5 different Hacker News readers have linked it 22 times, most often “Lessons from Creating a VSCode Extension with GPT-4”. It is still writing: the last post was on 2026-10-08, and you can follow it by feed.

Visit the blog
22mentions?
5HN people?
2023–2026first – last linked?
Links on Hacker News per year · peak 14 in 2023

Too few sampled comments (2) to say how often HN recommends it.?

Why HN links it

HN readers link this blog for a post on lossless log aggregation, which groups log lines by common identifiers. One comment cites it as an alternative to CLP-style log compression.

Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Thoughts on AI, technology, and humans. All opinions are my own.

The author on HN?

kevinslin · 1,776 karma · member since 2013

Working on creating better tools for thought at ~~dendron.so~~ OpenAI. You can reach me at kevin(at)dendron.so. LinkedIn: www.linkedin.com/in/kevinslin-nimbus X: https://twitter.com/kevins8 Substack: https://bit.kevinslin.com

From their public HN profile, which links to this site.

Most-linked posts?

  1. Lessons from Creating a VSCode Extension with GPT-4
    2 people · 2 mentions · first linked 2023-05-25
  2. Lossless Log Aggregation – Reduce Log Volume by 99% Without Dropping Data
    2 people · 2 mentions · first linked 2024-12-06

What Hacker News says?

  1. Two similar approaches using the fact that large portions of the text in a record is static. Using CLP: https://www.uber.com/blog/reducing-logging-cost-by-two-order... https://messagetemplates.org/ Rewrite the log to extract and group by common identifiers: https://bit.kevinslin.com/p/lossless-log-aggregation

    Comment linking /p/lossless-log-aggregation

    on “Short Message Compression Using LLMs”
  2. Submitted Lossless Log Aggregation – Reduce Log Volume by 99% Without Dropping Data as a story · 140 points

    HN discussion
  3. > the point of using a different layout/structure for storage vs the UI layer? By way of example, I'll point to the classic example of a New User form UI: that UI will need 2 password inputs (one for the password, the other for the "confirm password") - but your User object/schema/DB-table won't have two separate string password fields - it'll have a single binary/byte[] salted-password-hash field, and you certainly…

    Comment linking /p/leveraging-gpt-4-to-automate-the

    on “The Stupid Programmer Manifesto”
  4. Submitted OpenTelemetry in 2023 as a story · 20 points

    HN discussion
  5. Submitted You're Paying too much for (Cloudwatch) Logs as a story · 5 points

    HN discussion
  6. Submitted Everything You Never Wanted to Know About Logging Costs as a story · 4 points

    HN discussion
  7. Submitted A Deep Dive into Observability Pricing as a story · 4 points

    HN discussion
  8. Submitted The Architecture of Modern Observability Platforms as a story · 4 points

    HN discussion
  9. Submitted OpenClaw as the Universal Operating System for Agents as a story · 2 points

    HN discussion
  10. Submitted Thoughts on Claude Skills as a story · 2 points

    HN discussion
  11. Submitted Reducing Cloudwatch Log Costs by 80% with Firehose, S3 and Athena as a story · 2 points

    HN discussion
  12. Submitted Using GPT to Compile Pseudocode: A New Approach to Programming as a story · 2 points

    HN discussion
  13. Submitted Skills as Object-Oriented Programming for LLMs as a story · 1 points

    HN discussion
  14. Submitted An Opinionated Guide to Managing Observability Pipelines as a story · 1 points

    HN discussion
  15. Submitted Logging with OpenTelemetry and Loki as a story · 1 points

    HN discussion
  16. Submitted First Mile Observability and the Rise of Observability Pipelines as a story · 1 points

    HN discussion
  17. Submitted Athena Provisioned Capacity – Was it worth the wait? as a story · 1 points

    HN discussion
  18. Submitted How Real-Time Is Amazon Cloudwatch Logs Live Tail? as a story · 1 points

    HN discussion
  19. Submitted Lessons from Creating a VSCode Extension with GPT-4 (Part II) as a story · 1 points

    HN discussion
  20. Submitted Lessons from Creating a VSCode Extension with GPT-4 as a story · 1 points

    HN discussion
  21. Submitted GPT as a Compiler for Pseudocode as a story · 1 points

    HN discussion
  22. Submitted Founder Burnout as a story · 1 points

    HN discussion

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