This is fantastic as I can toast or reheat my frozen waffles on the same machine which is also running a agentic loop on codex desktop to cook my software.
2,163 karma · joined June 2, 2012
This is fantastic as I can toast or reheat my frozen waffles on the same machine which is also running a agentic loop on codex desktop to cook my software.
Mass Unemployment with no healthcare or supporting social services , very few opportunities and lots of guns.
It will not be ok.
Why can't you do the planning ? Figure out what needs to be done , break it down into small tasks and then ask the agent to execute those small tasks?
When we executed projects in the past, this is what I would do as a lead: figure out the overall software architecture and delegate the tasks to developers.
This way I always knew how the system worked and could extend it as needed. I am not in development role anymore but I am trying to understand why we are delegating planning and software architecture to coding agents?
Monopolies will continue as Token prices continue to rise.
I have been using DeepSeek and GLMnmodels with OpenCode and Codex and Claudr side by side.
I have not found the Chinese models lacking. I enjoy for coding and like to maintain full control of my codebade and deeply care about the GOF patterns. So I am very stringent in terms of what I want the LLM to code and how to code.
So from my perspective, they are all about the same.
I appreciate the fact that HN does not have personalized echo chamber aka feeds.
Government overreach is a concern for a lot of HNers; hence this was voted up.
My Pixel dropped connections unexpectedly. The battery would barely last till end of day.
Apple hardware is simply better value for the money
Now with cloud maturity and Vibe coders who will get better and cheaper, I think it's possible to replace all the features we use on Salesforce at a fraction of the cost of our Salesforce licensing cost.
And I get the benefit of resiliency and DR for free.
If you are a developing for My SQL and you are using Java/kotlin/closure/scala consider this as well.
Please know that I am asking as I am curious and do not intend to be disrespectful.
My last use case was like this : I had a old codebase code that was using bakbone.js for ui with jquery and a bunch of old js with little documentation to generat UI for a clojure web application.
Gemini was able to unravel this hairball of code and guiding me step by step to htmx. I am not using AI studio; I am using Gemini subscription.
Since I manually patch the code, its like pair programming with an incredibly patient and smart programmer.
For the record, I am too old for vibe coding .. I like to maintain total control over my code and all the abstractions and logic.
I got a nice and comprehensive infrastructure requirement document out of this.
Now I am using it to create Terraform repo , deploying it via OpenTofu and comparing it to my existing AWS cloud formation . This part is still a WIP .
However, the cost of software maintenance went up by 1000% . Lets hope you don't need to ever add a new business rule or user interface to your vibe coded software.
I am looking for a language or library agnostic pattern like we have MVC etc. for web applications. Or Gang of Four patterns but for building agents.
Or .. lets say due to weather, your farmers can not grow enough oranges or some fruit which drives up local prices. Should only the richest people in your country get to eat fruits ?
Or you discover lithium deposits that your national industry can not use . Should you let that just sit there knowing it could make your province prosperous if traded.
Not sensitive to latency at all. My users would rather have well researched answers than poor answers.
Also, I use batch mode APIs for chunking .. it is so much cheaper.
Chunking strategy is a big issue. I found acceptable results by shoving large texts to to gemini flash and have it summarize and extract chunks instead of whatever text splitter I tried. I use the method published by Anthropic https://www.anthropic.com/engineering/contextual-retrieval i.e. include full summary along with chunks for each embedding.
I also created a tool to enable the LLM to do vector search on its own .
I do not use Langchain or python.. I use Clojure+ LLMs' REST APIs.
See the sales team from Google flew out an executive to NBA Finals, Azure Sales team flew out another executive to NFL superBowl and the AWS team flew out yet another executive to Wimbledon finals. And thats how you end up with multi-cloud strategy.
I don't follow. Why would DeepSeek engineers need visa from CCP?