HN user
Does memory for AI agents basically mean -
- Save everything to disk. Index it or store in vectorDB. - Search the storage for similarity based on the new prompt - include any finding with the new prompt as system/user prompt (or if you find the exact answer skip the llm call)
?
Or is there more to it ?
Given all the hype that LLMs have got and the valuations these AI companies are getting, I am disappointed at how even the "best" coding agents degrade over time.
WTF - I need to implement a review command to guide to do its job properly.
Can you imagine any other industry charging people money for a product like this ?
When you are charging people money - scratching the surface cannot be an excuse.
Rather than switch stacks, better way to phrase it is that one should try to increase breadth and depth of knowledge.
By breadth I mean learning other programming language, frameworks, system design etc.
By depth I mean that - if you claim to know React - then get to know the deep detail of React, TS and the related ecosystem.
You can showcase the expertize by writing code, demoing it or sharing on github. Writing about it is another way
Planning to quit by end of the year. That is if I dont get fired earlier.
Place is a shithole. CEO/founders not being honest. Chief architect in India.
Feel that current architecture is broken and will not work.
Privately working on a prototype to demo to CEO/founders. Plan to tell the CEO this is what is possible and changes need to happen. Otherwise it is "sayonara"
Happy to see a post on Java and a book as well.
Will checkout the book.
Recovering the application from failures especially when updating multiple data sources, once and only once execution and such things are in the application domain. They have never been done by relational databases. That is the problem solved by the Python SDK of DBOS ( and typescript SDK)
Agree that Node is easier than SpringBoot, But Writing a simple app is easy. Not so for transactional app that needs to scale and be reliable and be fast. Add to it: docker Kubernetes Provisioning on cloud Log collection Observability ....... and much more
You need a team of several engineers ?
Good to see alternatives coming up to ridiculously complex serverside programming frameworks like SpringBoot, Node, etc etc.