If you are running MacOS, I would recommend Agent Safehouse.
Well maintained and is built on existing sandbox-exec so you are not locked in and can always build your own rules independent of the CLI tool.
Agreed, the programmer is not going away. However, I expect the role is going to change dramatically and the SDLC is going to have to adapt.
The programmer used to be the non-deterministic function creating the deterministic code. Along with that were multiple levels of testing from unit to acceptance in order to come to some close alignment with what the end-user actually intended as their project goals.
Now the programmer is using the probabilistic AI to generate definitive tests so that it can then non-deterministically create deterministic code to pass those tests. All to meet the indefinite project goals defined by the end-user. Or is there going to be another change in role where the project manager is the one using the AI to write the tests since they have a closer relationship to the customer and the programmer is the one responsible for wrangling the code to validate against those tests.
This exactly. How many small businesses were running some sort of Access database built by someone who knew just enough to meet their business process needs? "Brenda always orders these parts on Tuesday so make sure there is a Tuesday ordering table."
Eventually some SaaS solution came in and they evolved their business process because of the proposed benefits.
I expect we are going to see a resurgence of good enough software created for the real world hodgepodge of business practices. Not a bad thing in the short term as it will creating adequate efficiency, but long term we are going to reap the technical debt.
My prediction is that the next SaaS evolution is going to be platforms for these random solutions. Just as Salesforce captured CMS market, someone is going to capture the AI agent market where users can write and host their LOB code agnostic to the rest of their infrastructure stack and 'slightly' reduce that technical debt.
This is why I think trail running is so valuable. You must be aware of your changing environment and how to adjust your body's movement to accommodate. You are exercising your mind to calculate your current momentum, intended placement of your next step, and it's potential impact to the rest of your body. You are running your own mental physics simulation as you work the trail, nothing like running on regular roads.
It gave me a "living in the future" feeling the day someone sent me a picture of a phone number through imessage. Barely thinking, I pressed on the phone number in the image and I was prompted to call it. It was like technology and primitive intuition teamed up to create that moment.
There is data but nowhere near the amount of written language that is fairly normalized and without the need to account for additional features such as language, dialect, intonation, facial expression, hand gestures. Speech to text is used as the translation layer as it throws many of those other features away and contextualizes it into a set of tokens that are much more efficient to map between languages.
The article only addresses the website and application. I expect that what we will see is a shift from individual users to enterprise usage. Individuals are not going to subscribe indefinitely, but I expect corporate access to the API will continue to be healthy.
https://github.com/eugene1g/agent-safehouse/ https://agent-safehouse.dev/
Originally posted on HN https://news.ycombinator.com/item?id=47301085