> companies as reliable and predictable as, say, Jetbrains.
Except they were not for past few years as they misfired on the attempt to compete with vscode. That had a big impact on pycharm, which seemed starved for resources for so long. The company eventually declared a year of Django, but even that failed to really make an impact.
Arguably, Jetbrains had first insight into AI based code completion via rapid rise of the TabNine plugin but missed that opportunity also.
"Early testers found its writing clearer and easier to follow, which addresses some of the common feedback we heard about Opus 5"
and
"We’ve made major improvements to the way Opus 5.5 writes and communicates, one of the most common areas of feedback we heard about Opus 5."
and
"In our own use, this has made Opus 5.5’s work easier to follow and check—which is a safety benefit as well as a practical one."
I realize it is corporate communications but "most common areas of feedback" and is a bit sterile. If the company wants authenticity and trust its easy to say that they found it hard to follow. And that it did not meet a quality bar they generally expect from their releases.
If this is not true, that it Opus 5 output was generally acceptable and we might see something like that again, that is an important consideration for potential customers or investors.
Bob Barker and Wilford Brimley both took it pretty hard on Sora.
I don't remember seeing any RW content, but there was some John Lennon stuff. He was mostly in good taste, but I remember seeing something and being, uncomfortable with it.
I don't really see why Bob Barker should be any less protected, then John Lennon or Robin Williams. None of these people were saints.
But there is or at least used to be deference provided to certain people or establishments.
I haven't seen this video that was so upsetting, but perhaps it's not the reanimation so much as the content. Some of it is so obviously satire it's not to be taken seriously.
But, I remember somebody used Bruce Lee as a vessel to spread the gospel on Sora. I had to frown at that, as it was not how he would have behaved.
It is an application for Linux, macOS and Windows that files your AI chats into a database your AI can read using a skill or MCP.
It backs up the valuable content of your Claude Code and Codex conversations (JSONL transcripts) and turns them into a complete history you don’t have to manage.
Use Contextify during normal flow of CLI AI conversations:
1. Resume unfinished work → "where did we leave off on that?"
2. Recover the intent/scope → "what was the actual goal of this whole effort?"
3. Verify it got done → "did we ever finish that, and which session proves it?"
4. Recall a fix → "how did we fix this the last time it broke?"
Just add "use total recall" or invoke the skill directly via /total-recall or $total-recall.
You can self-host and keep all data local or use the source available Contextify Cloud sync server so your history on all machines in your cluster or desktop and laptop are always backed up and immediately available for use.
I have not been a Windows user since the days of the Hackintosh. But urging here and from users to cover the platform pushed me into it and I ended up really enjoying the challenge.
Right now I’m working on an expanded version of the windows app and support for integrating a 3rd party local LLM.
There have been a few posts from people who have used these XREAL or other AR glasses with an Android and foldable keyboard.
Also, IIRC there was reporting that Apple considered doing the compute for Vision Pro on a device at the hip. Instead of what they ended up with which was just a battery.
I could see this coming back around again where a future iPhone is all of the brains or a lot of the brains for AR glasses.
Hey, I enjoyed reading through your blog entry. What do you see as the natural conclusion of this work so far? How far do you think you would be interested in taking it, provided enough tokens and time?
Of this work? We're taking it all the way to shipping a distro with full hardware support on all released Macs and later to upstream Linux. We've taken significant care to respect Apple's copyright and publicly document all our processes. We don't think this will take too long, our development velocity has been pretty good, see: the GPU driver.
Hello, I'm Rob and I've been working on Contextify since October of last year. Besides creating Back to the Future time machines for the docs page [1], I've been working on adding a Windows client since mid-July.
Contextify indexes your entire local Claude Code and Codex sessions into a local SQLite/FTS index as they happen. This lets you aim your agents at your real-time and complete historical AI-coding (or other project type) history.
It works purely locally but has an option for hosted or self-hosted cloud sync to read it on another machine, along with a hosted option if you want turn-key.
HN and some existing users requested a Windows client. In some cases it is because their self-hosted setups include Mac, Linux and Windows boxes that are all generating CLI AI transcripts (sometimes headlessly)
This product started as a macOS app; 1.8.0 brings it to Windows (x64 and ARM64) and extends the Linux CLI. It is free for personal use and has a source-available self-hosted option. I have commercial licenses available, and a few very much appreciated customers so far.
On Windows it's a background agent plus a CLI, with no history-browsing UI yet.
Lots of interesting development was needed to pull this off (including a shared Swift core!) in a way where it could be updated as easily as prior to the release. I'll share some of that in a comment below.
If you use Windows and would be open to giving this a go, I'd appreciate any feedback here or via rob@contextify.sh.
I basically live in rio all day long. It’s fast. Looks great. Only annoyance is I have to do
TERM=xterm-256color ssh … cuz they don’t know what Rio is
But otherwise it’s awesome
Ghostty I like too. Fast hackable easy to configure I just use it every now and then probably because launching it via spotlight is longer than typing Rio
Except they were not for past few years as they misfired on the attempt to compete with vscode. That had a big impact on pycharm, which seemed starved for resources for so long. The company eventually declared a year of Django, but even that failed to really make an impact.
Arguably, Jetbrains had first insight into AI based code completion via rapid rise of the TabNine plugin but missed that opportunity also.
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