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Hamming AI

Company blog · hamming.ai/blogaiprogramming

Hamming AI is the company blog at hamming.ai, writing about ai and programming. Since 2024, 4 different Hacker News readers have linked it 6 times, most often “Hamming: Voice Agent Tooling”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
6mentions?
4HN people?
2024–2025first – last linked?
Links on Hacker News per year · peak 4 in 2024

Too few sampled comments (4) to say how often HN recommends it.?

Why HN links it

The linked posts cover LLM and voice-agent testing, including the BICS benchmark for finding bugs in large Python codebases. Commenters mention them as a competitor or a benchmark and do not judge the writing.

Summarised by Claude from a sample of 4 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Complete voice & chat agent QA platform. Auto-generate scenarios, replay production calls, 50+ metrics. SOC 2 certified. Start in under 10 minutes.

Most-linked posts?

  1. Hamming: Voice Agent Tooling
    2 people · 2 mentions · first linked 2024-10-11

What Hacker News says?

  1. I've been keeping a rolling list of LLMOps/AI agent observability products funded by YC. What problems does Lucidic solve that the others do not? https://hegel-ai.com https://www.vellum.ai/ https://www.parea.ai http://baserun.ai https://www.traceloop.com https://www.trychatter.ai https://talc.ai https://langfuse.com https://humanloop.com https://uptrain.ai https://athina.ai https://relari.ai https://phospho.ai https…

    Comment linking /

    on “Launch HN: Lucidic (YC W25) – Debug, test, and evaluate AI agents in production”
  2. Submitted Can LLMs find bugs in large Python codebases? as a story · 5 points

    HN discussion
  3. As someone who's building a personal work assistant for voice - I see the merit in automating test case generation and validation. All products in this space by YC teams are targeted at scaled voice agent startups or teams. - Roark ( https://roark.ai/ ) - Hammin ( https://hamming.ai/ ) - Coval ( https://www.coval.dev/ ) - Vocera ( https://www.vocera.ai/ ) How do you differentiate - who is this for? Voice agent devs…

    Comment linking /

    on “Launch HN: Roark (YC W25) – Taking the pain out of voice AI testing”
  4. Submitted Hamming: Voice Agent Tooling as a story · 1 points

    HN discussion
  5. Hi HN - In collab with UWaterloo, we published a new code-focused needle in the haystack benchmark. TLDR - GPT-3.5-Turbo showed lower accuracy on the BICS benchmark than the BABILONG benchmark at the same context length and target depth, indicating that LLMs struggle more on code-based tasks than text-based tasks at long context length. - The hype is real. GPT-4o showed the best performance, closely followed by GPT-…

    Comment linking /blog/bug-in-the-codestack

    on “New code-focused LLM needle in the haystack benchmark”
  6. Hi HN - We built a new benchmark called "Bug In The Code Stack" (BICS) to test how well LLMs can find syntactic bugs in large Python codebases. (similar to a text-based needle-in-the-haystack test) GPT-3.5-Turbo showed lower accuracy on the BICS benchmark than the BABILONG benchmark at the same context length and target depth, indicating that LLMs struggle more on code-based tasks than text-based tasks at long conte…

    Comment linking /blog/bug-in-the-codestack

    on “Can LLMs find bugs in large Python codebases?”

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