Already chatGPT has moved to expert level?? People saying "I confirmed with chatGPT"!!

One of the biggest mistakes that we can do is to set wrong examples. One such example - indiscriminate mocking in the UT's. It becomes a subconscious pattern that most just follow it.

this is obviously the use case where io_uring best showcase its capabilities 😲

tangled.sh/@rockorager....

There are good cloud examples and there are bad ones. I have been part of many cloud negotiations and I echo every bit of the writeup. Companies that can watch their costs and care about it, will always get their act together on cloud.

Please read this and save yourself from possible txnid wraparound!

I am subscribing to it the moment it goes live!

microsoft/vscode-copilot-chat As promised at Build 2025 in May, Microsoft have released the GitHub Copilot Chat client for VS Code under an open source (MIT) license. So far this is just the …

Microsoft open-sourced a sizable chunk of the GitHub Copilot VS Code extension today (MIT licensed) - I did some spelunking to try and find the LLM prompts that make it all work
simonwillison.net/2025/Jun/30/...

left: the interview questions

right: the actual job

DeepWiki | AI documentation you can talk to, for every repo DeepWiki provides up-to-date documentation you can talk to, for every repo in the world. Think Deep Research for GitHub - powered by Devin.

deepwiki.com is pretty neat. Found it pretty good for the public repos.

Very interesting! I was playing with katran sometime back and got exposed to all the goodness. But, DSR for public ip seems to be deeply buried within cloud provider's networking stack. Curious how you get around it? What's the deployment topology in public cloud setup?

Git pull seems to be running on dial up connection.

With this Apple Container Framework stuff, I need to clarify something that I see confusing a lot of people:

In Docker Desktop/colima/lima/Rancher Desktop today a single VM runs all of your containers.

With Apple Container Framework, each container is it's own VM.

[arXiv] Fast Userspace Networking for the Rest of Us
arxiv.org/abs/2502.0...

"if it doesn't work on the cloud does it even matter?" but applied to kernel bypass networking.

DAVE: Open the podbay doors, ChatGPT.
CHATGPT: Certainly, Dave, the podbay doors are now open.
DAVE: The podbay doors didn't open.
CHATGPT: My apologies, Dave, you're right. I thought the podbay doors were open, but they weren't. Now they are.
DAVE: I'm still looking at a set of closed podbay doors.

Was looking at refactoring a SQL (#postgres). Haven't written a lot of SQL in last many years and was bit rusty. I knew what I wanted and copilot with Claude 3.7 gave the right query. Of course, validated for correctness. #AI can be large time saver when used properly.

The flow never ages! For the past ~20 years(my time in the industry), the first thing to check is stats(irrespective of DB). Have had pleasure(?) of asking to run this as part of production incidents a few times!

1️⃣ Stale stats: ANALYZE hasn’t run; filter looks un-selective.
2️⃣ Truly un-selective: Stats are right; scan really is cheaper.
3️⃣ Complex estimates: Many joins / ORs / CTE / functions scramble row estimates.
4️⃣ Handcuffs on: RLS limits optimizations or GUCs forbid the path.
5️⃣ Planner bugs: Rare but...

From hours to minutes is brilliant! Yet to see the video, but what if there are bunch of business logic between bronze and gold? Most likely @feldera.bsky.social would handle that? Also, how it would compare cost wise with batch?

This looks and reads very neat. Time to get a feel of it!

This is great write up. One of the challenges with testing something for a scale system is to do it without introducing regression and not breaking the bank while making sure most of the scenarios are still covered.

Reality Check I'm sick and god-damn tired of this! I have written tens of thousands of words about this and still, to this day, people are babbling about the "AI revolution" as the sky rains blood and crevices open...

Newsletter: I am sick and god damn tired of everybody pretending that generative AI is the next big thing. The media is complicit in accepting fantastical nonsense - both in the numbers put out by OpenAI and the silly jobs created by Anthropic - and it has to stop.
www.wheresyoured.at/reality-check/

If you call yourself a "software engineer" you better be able to:

1. Flip a linked list
2. Flip it again
3. Bop it
4. Twist it
5. Twist it
6. Pull it
7. Bop it

0x.tools xCapture v3: Linux Performance Analysis with Modern eBPF and DuckDB 👀👀

tanelpoder.com/posts/xcaptu...

Julia Evans' personal website showing her "Blogs I like" section. Features her name in orange, navigation links to About/Talks/Projects/etc., and a bulleted list of favorite tech blogs including Andy Baio, Andy Wingo, Bonnie Eiseman and others, each with a specific post recommendation.

ooh, @b0rk.jvns.ca has a wonderful blogroll jvns.ca/blogroll/

Release Heatmaps and Native memory profiling · async-profiler/async-profiler v4.0 Features #895, #905: jfrconv binary and numerous converter enhancements #944: Interactive Heatmap #1064: Native memory leak profiler #1002: An option to display instruction addresses #1007: O...

Async-Profiler v4.0
Heatmaps and Native memory profiling and VMStructs-based stack walker
github.com/async-profil...

YouTube video by Bengawalk The never ending construction of Bengaluru

This is an excellent take on the current state of affairs in #Bengaluru. Near my home, good wide asphalted road has been taken up for white topping. The road doesn't see any buses or heavy vehicles. As expected, the topping is far from complete.
www.youtube.com/watch?v=lV7s...

jackson-datatypes-misc/json-org at 2.19 · FasterXML/jackson-datatypes-misc Collection of common Jackson datatype modules not part of other multi-project repos - FasterXML/jackson-datatypes-misc

If your codebase uses org.json and you wanted to try a better alternative like widely adopted fasterxml, then you are in luck - github.com/FasterXML/ja... FasterXML continues to amaze and heartfelt thanks to @cowtowncoder.bsky.social

If you are on Java8+(which you should be, think again if you aren't), then a cleaner way of timing out a CompletableFuture is orTimeout. In #Java 8 you would have to create a future, schedule timeout on it and do CompletableFuture.anyOf().

This blog post is a great summary of GHA pain points. The major issue is too much hidden complexity—good discussions in the HN thread.

I like some advice in the comments:
- Write as much CI logic as possible in your own code.
- Be able to test your pipelines locally.
- Use your own runners.

Java 24 / JDK 24: General Availability: mail.openjdk.org/pipermail/jd...

Features: openjdk.org/projects/jdk...

#java24 #jdk24 #openjdk #java