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Oren Eini commented on Learning to code, 1990s vs 2026

Wed, 03 Jun 2026 20:48:11 GMT

Peter, That looks like giving the model / agent to run actions that it shouldn't.You should assume that the model is hostile, and limit what it can do to the scope of what the user is able to do, not anything privileged.

peter commented on Learning to code, 1990s vs 2026

Tue, 02 Jun 2026 17:24:05 GMT

https://x.com/DarkWebInformer/status/2061253599758315527

peter commented on Learning to code, 1990s vs 2026

Tue, 02 Jun 2026 17:22:27 GMT

META's Instagram (IG) implemetned an AI bot and it is - AS WE SPEAK - allowing users to takeover other peoples' accounts

Oren Eini commented on Learning to code, 1990s vs 2026

Mon, 01 Jun 2026 18:56:25 GMT

peter, Can you explain what you mean?

peter commented on Learning to code, 1990s vs 2026

Mon, 01 Jun 2026 17:30:09 GMT

I think it's time for a writeup of the IG mess vs how RavenDB has implemented AI.

Oren Eini commented on Using AI agents in long-lived software projects

Thu, 14 May 2026 11:10:33 GMT

Rafal, Regenerating the project each times assumes that you *can* do that. That isn't true. Users have expectations, any integration would break, etc. And code has _weight_ the more code you have, the harder it is to actually work properly. It is actually _measurable_ now, since you have a context window limit in the agent. Given those two statements, it is really obvious that you _need_ to worry about your source code and its longevity.

Rafal commented on Using AI agents in long-lived software projects

Wed, 22 Apr 2026 06:09:06 GMT

Had similar thoughts recently - if the software is so easy to generate, why worry about the source code at all - just throw it away and recreate from scratch every time. And then even the technology doesn't matter. Claude seems to shine the most when creating something from scratch, it feels like working with a great developer who understands, thinks ahead and builds the model in their head as you speak to them. But (as always, a but) it reaches a limit - if the complexity grows a bit it often gets stuck in a loop - it creates a solution, but it's wrong, so you explain what is wrong in next prompt, and it happily nods its digital head, gets to work, says it found the problem and applied a fix, but you're back to square one - still doesnt work. Repeat several times, same scenario, and it's clear it won't move forward. And in the meantime the code gets big and complex so it's impossible to go thru it and assist the assistant.

Barth Benner commented on The 'Million AI Monkeys' Hypothesis & Real-World Projects

Fri, 03 Apr 2026 22:23:00 GMT

It is no longer a skill. Soon we will all accept it. We can all now create great software. All the outstanding developers are saying it.

Oren Eini commented on A tale of one-off, coding agents and the shortest path to victory

Sun, 15 Feb 2026 06:48:52 GMT

Rustam, Yes, you can do that with `slackdump`, sure. I literally couldn't get the auth to work properly. Now, I *could* make it work, for sure. But it was literally easier to get an agent to produce a once off then try to figure out how to get `slackdump` auth working properly. That's the point of this post.

Rustam commented on A tale of one-off, coding agents and the shortest path to victory

Sat, 14 Feb 2026 04:42:50 GMT

It's quite easy with slackdump: 1. Run a dump of a channel: slackdump dump - produces a zip file with the timestamp, i.e. slackdump_20250214_143900.zip. 2. Format as csv: slackdump format slackdump_20250214_143900.zip - produces a zip file with two CSV files: conversation and channel information. All the best.

Nicholas Piasecki commented on Maintainability in the age of coding agents

Sat, 31 Jan 2026 02:29:55 GMT

As someone reading you for a long time and maintaining his own 15 year old code base, on a much smaller scale, I also came to the conclusion that it succeeded only because I got the architecture mostly correct — of course the topography is all obsolete now, but the fault lines were right — in that changes and evolution were localized, and I could change and deploy just a small part of the system at a time. This was a great essay.

Oren Eini commented on Implementing Agentic Reminders in RavenDB

Fri, 12 Dec 2025 07:41:40 GMT

Peter, That actually comes from a bunch of reasons. - `@refresh` - is easier to just type then provide a strongly typed API for.- We have to consider cross language API. C# has really nice facilities for strongly typed stuff (but they are complex). With Python / node.js, that is not the case- `smartest-agent` or `GetRaisedReminders` are defined by the user. Sure, we can go the same route we did with indexes, with defining a class, etc. That comes back to the previous point about other systems, and reducing the cost of approaching this in all platforms.

peter commented on Implementing Agentic Reminders in RavenDB

Thu, 11 Dec 2025 16:06:01 GMT

curious why literal strings are used (@refresh, smartest-agent, GetRaisedReminders etc). Is there no simple way to use stringly-typed variables?

Ray Kwei commented on Using multi-staged actions with AI Agents to reduce costs & time

Mon, 24 Nov 2025 21:48:19 GMT

Oren - software investor at Radian Capital - just shot you an email. Thought I might try reaching out through the blog!