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Peter Steinberger
GitHub
bslog — cli for Better Stack to fetch logs, ClickHouse SQL style. Made for humans and agents.
clickhouse fetch logs
The the words it uses that this site has seen
least often elsewhere. Posts are matched on those words alone —
nothing here is a summary of this one.
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19 September
Technologist and entrepreneur; former CTO of Threadless and chief technology officer of the 2012 Obama re-election campaign.
15 September
Programmer, photographer and musician, best known for the Python Requests HTTP library and other Python tooling.
12 September
Co-creator of Django and creator of Datasette; writes daily at simonwillison.net.
10 September
Canadian full-stack web developer who makes JavaScript and CSS video courses and co-hosts the Syntax podcast.
If you are burning through tokens with all of these latest models, check if you have agent-browser skill installed The latest models seem to LOVE validating with screenshots when a few logs will do Related
17 August
Web infrastructure engineer and standards editor; chaired the IETF HTTP working group and co-authored core HTTP and Atom specifications.
13 August
Principal engineer at Cloudflare as of 2026, on agents and developer tooling. Streams TypeScript, OCaml and Neovim on Twitch, and wrote the better-result library after writing the same Result type about a hundred times.
10 August
Co-creator of Django and creator of Datasette; writes daily at simonwillison.net.
Anthropic OpenAI
Their words
Claude Haiku is my current least favorite model - it hallucinates wildly, and is out-performed now by other similarly priced models like GPT-5.6-Luna
Even worse: it seems to still be used by the Claude Code WebFetch tool, which means hallucination risk any time you fetch a URL!
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@simonw on X x.com
8 August
Brazilian-American staff software engineer working on platforms, AI and developer productivity. Writes about engineering and his setup at ivansantos.me.
Friendly tip for anyone vibe-coding a side project: instrument it. All of it — traces, metrics, logs, profiles. Send it to @grafana, hook up their MCP, and let the agent debug with real data instead of guessing. MCP Related
21 July
Web standards author and speaker; wrote the CSS: The Definitive Guide series and co-founded the An Event Apart conference.
I just re-installed SuperDuper! (https://www.shirt-pocket.com/SuperDuper/SuperDuperDescription.html) after I somehow managed to break it. Been registered to me for 14 years, the main window informs me. That seemed like it was way too long, so I checked my logs and yep, my first logged run of it was at the beginning of August 2012. So, thanks for almost a decade and a half of backing me up, SuperDuper! Related
8 July
Co-founder and CTO of Honeycomb; previously an infrastructure engineer at Parse, Facebook and Linden Lab, and co-author of Observability Engineering.
7 July
Co-founder and CTO of Honeycomb; previously an infrastructure engineer at Parse, Facebook and Linden Lab, and co-author of Observability Engineering.
Go read this post from Mat Duggan right now -- "@ClickhouseDB is Winning the Observability Wars". Go! I'll wait. https://t.co/LOsYeGNUJH "Every other observability backend I've worked with mutates as it grows... ClickHouse at 10 TB a day looks like ClickHouse at 1 TB a day with more shards. That's it. That's the pitch. That's the whole reason I'm writing this." Duggan's piece is a riot from start to finish. He talks you through all the pain of scaling Elastic, LGTM, and Datadog, and shows why a little tiny bit of upfront effort buys you SO MUCH EASE down the road, as you scale indefinitely. W… Related
16 June
Co-founder and CTO of Honeycomb; previously an infrastructure engineer at Parse, Facebook and Linden Lab, and co-author of Observability Engineering.
Telemetry is a product decision. These are not your old school infra logs and metrics; this is not your system exhaust pipe, spewing crap into the sky. The trace is all you need. But the trace must be part of the product. The trace is your source of truth. Quoting @mykola I think as LLM computer use gets increasing capable we are going to see a massive rise in the popularity and significance of telemetry. @mipsytipsy and honeycomb are way early yet, this will generalize. Think games or movies or lives as nested event streams. If you can see that, you can see why I’m… Related
28 May
Co-founder and CTO of Honeycomb; previously an infrastructure engineer at Parse, Facebook and Linden Lab, and co-author of Observability Engineering.
Yes!!! So excited for this!! See you soon, Clickhouse Open House 🤓🌈 Quoting @tbragin Could not be more excited to moderate a fireside chat with my personal hero @mipsytipsy at 3pm today @ SF Convene 🔥🔥🔥 Will do my best to make it spicy, but something tells me it will be so regardless 😂 Reg here Related
11 April
Systems and developer-tools engineer at Cloudflare as of 2026, on durable infrastructure for AI agents; worked on React and PartyKit before that. Writes at sunilpai.dev.
9 March
Co-founder and CTO of Honeycomb; previously an infrastructure engineer at Parse, Facebook and Linden Lab, and co-author of Observability Engineering.
23 February
Systems and developer-tools engineer at Cloudflare as of 2026, on durable infrastructure for AI agents; worked on React and PartyKit before that. Writes at sunilpai.dev.
8 November 2025
Free software developer; maintainer of sway, wlroots, aerc and scdoc, and founder of the SourceHut (sr.ht) software forge.
9 September 2025
Release engineering manager at the Wikimedia Foundation. Keeps a public log at tylercipriani.com of every book he reads, with a rating and notes.
Failed to fetch https://packages.sury.org/php/dists/buster/InRelease 418 I'm a teapot Well played, Sury. Well. Played. Related
29 July 2025
Founded PSPDFKit in 2011 and ran it for a decade. Came back from a break to work on AI agents — the OpenClaw project, and OpenAI, joined in February 2026. Writes at steipete.me.
16 July 2025
Machine learning engineer working on recommender systems, personalization and information retrieval. Previously worked on LLMs and LLM infrastructure at Mozilla.ai and on ML and recsys at Duo, Tumblr, Automattic and Comcast; wrote the 'What are embeddings?' text and ran the Normconf conference.
My favorite use-case for AI is writing logs One of my favorite AI dev products today is Full Line Code Completion in PyCharm (bundled with the IDE since late 2023). It’s extremely well-thought out, unintrusive, and makes me a more effective developer. Most import…
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14 March 2025
Programmer based in Vancouver who writes at scattered-thoughts.net about databases, programming language design and developer tools; author of the Imp, Dida and Zest language experiments.
Nothing matches. Show everything
What is a korrent?
A korrent is a belief a person has stated in their own words: one
sentence stating the claim, backed by a quote and a source, kept at
korrents.com .
Under a name here, the quoted block is what they actually said.
The korrent beneath it is the claim those words support, in
korrents' wording — tap it to see the record, its source, and who
else holds it.
Nobody here wrote their own korrents. They are compiled from public
statements, and a person can change their mind, which is recorded too.
Got it
About the English under a post
Some people here publish in a language other than English. Where they
do, this site shows a machine translation beneath the post, in
this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the
serif above is exactly what the person published, and it is what to
quote them on. A translation can be wrong in ways that matter,
especially about tone.
Only the post's own words are translated. A quoted post, a linked
article and a belief on korrents.com
are left in their original language.
Got it