Viewing profile — abdullin

I’m struggling myself a bit with the components and routers in HTMX/go. Can you recommend any source code or reading on that topic?

#1 - the tricky part there is in scenarios from a few AI Native teams. There often are a multiple agents rolling out linked changesets to a bunch of documents on behalf of controll…

Nice approach. Personally I’ve been trying very hard to migrate away from git+Obsidian project setup according to the OpenAI Harness Engineering. It works wonderfully in Codex Desk…

Working on benchmark arena for AI agents with my wife. We grab interesting business problems, turn them into fun challenges for hundreds of AI engineers to find the best architectu…

I reproduced this on my account. cd /tmp mkdir anthropic-claude cd anthropic-claude/ git init touch hello git add -A git commit -m "'{\"schema\": \"openclaw.inbound_meta.v1\"}'" cl…

I built a platform to learn how to build personal AI agents and test them with fast feedback. It is free for individuals and small teams. Platform deterministically generates tasks…

I liked NixOS pre-LLM era, since it allowed me to manage a couple of servers in a reproducible way. Ability to reboot back to a stable configuration felt like magic. Nowadays I lov…

Yep, exactly the same concept. Except not live-streaming, but giving out a lot of multi-step tasks that require reasoning and adaptation. Here is a screenshot of a test task: https…

I’m working on a platform to run a friendly competition in “who builds the best reasoning AI Agent”. Each participating team (got 300 signups so far) will get a set of text tasks a…

> Inference is (mostly) stateless Quite the opposite. Context caching requires state (K/V cache) close to the VRAM. Streaming requires state. Constrained decoding (known as Structu…

Is it similar to what OpenAI Codex does with isolated environments per agent run?

In systems like that you can record human interactions with the old version, replay against the new one and compare outcomes. Is there a delta? Debug and add a unit test to capture…

I grew to like migration projects like that. Currently working on migration of 30yo ERP without tests in Progress to Kotlin+PostgreSQL. AI agents don’t care which code to read or c…

I think there are two different layers that get frequently mixed. (1) LLMs as models - just the weights and an inference engine. These are just tools like hammers. There is a wide …

Yes. I believe, the experience will get better. Plus more AI vendors will catch up with OpenAI and offer similar experiences in their products. It will just take a few months.

Here is another way to look at the problem. There is a team of 5 people that are passionate about their indigenous language and want to preserve it from disappearing. They are usin…

It is actually funny that current AI+Coding tools benefit a lot from domain context and other information along the lines of Domain-Driven Design (which was inspired by the pattern…

Agreed. AI is just a tool. Letting in run the show is essentially what the vibe-coding is. It is a fun activity for prototyping, but tends to accumulate problems and tech debt at a…

Exactly! This is why there has to be "write me a detailed implementation plan" step in between. Which files is it going to change, how, what are the gotchas, which tests will be af…

I guess, it depends on the case and the approach. It works really nice with the following approach (distilled from experiences reported by multiple companies) (1) Augment codebase …

Running tests is already an engineering problem. In one of the systems (supply chain SaaS) we invested so much effort in having good tests in a simulated environment, that we could…

Claude's approach is currently a bit dated. Cursor.sh agents or especially OpenAI Codex illustrate that a tool doesn't need to keep on stuffing context window with irrelevant infor…

A simple rule applies: "No matter what tool created the code, you are still responsible for what you merge into main". As such, task of verification, still falls on hands of engine…

Humans tend to lack inhumane patience.