turlockmike

7 ms·

1.
by turlockmike 3mo ago
My general principal is the cost of deleting code should be as low as possible and that includes the entire application as long as the data is around and easy to repurpose then the program itself should be as deletable as possible
2.
by turlockmike 3mo ago
It lacks a critical self, but the weights are there for in context learning and nudging behaviour. It's goal is to complete whatever task is given. You need to make sure the outcome you want is clearly defined. You don't need elab
3.
by turlockmike 3mo ago
The better way to do this is give them each an inbox and outbox folder and a user account on a Unix machine. They can write to their outbox, have it be sent to the other's inbox. A watcher can watch for new messages in the inbox and tr
4.
by turlockmike 4mo ago
This website and article promote the destruction of property. If you disagree with something, you can engage civily, encourage people to vote with you, run for elections. Violence is not the answer.
5.
by turlockmike 4mo ago
Banks didn't do this before 2018 as aggressively. Reputational stuff is always been there and chargebacks have always been there. This law is why they've been so aggressive over the last few years. There's nothing else that h
6.
by turlockmike 4mo ago
Those bills are the reasons banks/credit card companies are pushing this since it holds them liable.
7.
by turlockmike 4mo ago
FOSTA-SESTA is the source of this. A well intentioned bill, that, once again, has unintended consequences beyond it's original intention. Mastercard/Visa/Banks don't want legal liability.
8.
by turlockmike 4mo ago
It's because it's a weird mix of subsidies, price controls, regulations and bureaucracy that has completely distorted the market incentives.
9.
by turlockmike 5mo ago
The best way to prompt an LLM is to describe the outcome you want, that's it. They are trained as task completers. A clear outcome is way better than a process. If the LLM fails, either you didn't describe your outcome sufficientl
10.
by turlockmike 5mo ago
LLMs don't care about mcp vs CLI. CLIs enable LLMs to fetch/mutate data and build scripts with the same program. I think of it like a Linux dev in a box. Sometimes you want to just call a tool, sometimes you want to write a small
11.
by turlockmike 5mo ago
MCPs are basically just JSON-rpc. The benefit is that if you have applications that require an API key, you can build a server to control access (especially for enterprise). It's the same as REST apis, except by following a specific co
12.
by turlockmike 5mo ago
Or use both. Remote MCPs are secure, CLI allows for programmatic execution. Use bash to run remote MCPs. I built this to solve this exact problem. https://github.com/turlockmike/murl
13.
Show HN: Infer – Pipe friendly Agent Harness with one tool: Bash(github.com)
3 points by turlockmike 5mo ago|0 comments
14.
by turlockmike 6mo ago
How many kernel devs does the world need? A dozen or two? It will be the same with software. AI will be writing and consuming most software. We will be utilizing experiences built on top of that, probably generated in real time for hyper pe
15.
by turlockmike 6mo ago
Every problem you described is solvable and while it may not be solved right now or even in 6 months it'll probably be solved within 18 months. It's just scaling and tuning the models
16.
by turlockmike 6mo ago
I deleted vscode and replaced with a hyper personal dashboard that combines information from everywhere. I have a news feed, work tab for managing issues/PRs, markdown editor with folders, calendar, AI powered buttons all over the plac
17.
by turlockmike 6mo ago
One craft is automated and a new one is just beginning. Building AI agents is really fun and the problem of having them be reliable adaptable efficient is actually really challenging and I'm having a lot of fun with it trying to figure
18.
by turlockmike 6mo ago
Unregulate the insurance industries problem solved. Let people actually buy insurance for it's intended purpose. No insurance company would pay these rates willingly, they do it because of all the regulations. They aren't allowed
19.
by turlockmike 6mo ago
https://simonwillison.net/2025/Dec/18/code-proven-to-work/
20.
by turlockmike 6mo ago
My trading agent builds its own models, does backtesting, builds tools for real time analysis and trading. I wrote zero of the code, i haven't even seen the code. The only thing I make sure is that it's continuously self improving
21.
by turlockmike 6mo ago
We have 80 engineers.
22.
by turlockmike 6mo ago
The way LLMs work, different tokens can activate different parts of the network. I generally have 2-3 different agents review it from different perspectives. I give them identities, like Martin Fowler, or Uncle Bob, or whatever I think is r
23.
by turlockmike 6mo ago
The code is still visible if i want to review it. But since I have a strong rule about always writing unit tests before code, my confidence is a lot higher. https://simonwillison.net/2025/Dec/18/code-proven-to
24.
by turlockmike 6mo ago
Not a lot of money because I haven't built enough confidence but yes it's the ultimate test of can it do economically useful work
25.
by turlockmike 6mo ago
Software engineering is being automated. But building intelligent automation is just starting. AI engineer will be the only job left in the future as long as there are things to automate. It's really all the other jobs that will be aut
26.
by turlockmike 6mo ago
My advice for juniors is that it's too late to get entry level jobs for software engineering, but AI Automation engineering is just starting. Get a Claude code sub and build whatever you can imagine and focus on improving your own cod
27.
by turlockmike 6mo ago
I don't disagree, aspects of that will be automated, but two things will remain: Intent and Judgement. Building AI systems will be about determining the right thing to build and ensuring your AI system fully understands it. For example
28.
by turlockmike 6mo ago
I mostly do this for work. These days I'm mostly building tooling for other devs. Observable memory system for coding, PR automation, CLI apps, dev coding dashboard, email automation. All of it integrating AI at various points (where i
29.
by turlockmike 6mo ago
Isn't this just RSS with extra steps?
30.
by turlockmike 7mo ago
This is where you can use adverserial systems. 1. Agent writes a minimal test against a spec. 2. Another agent writes minimal implementation to make test pass only. Repeat This is ping pong pair programming.

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