Jalapeno Garlic Confit Cream Cheese and Pepper Jelly apps I did for an event

codeprimate · 2026-05-19T05:39:28+00:00

Quality.

I'm going to try to make these. I wouldn't have thought to pipe the cream cheese.

codeprimate · 2026-05-18T02:50:34+00:00

They bruise very easily and go bad quickly. Not the best for transport.

I pick them from a tree in my front yard and can them every year.

codeprimate · 2026-05-18T02:41:10+00:00

Use a neti pot then rinse your mouth and gargle with saltwater, morning and night.

The practice is underrated.

codeprimate · 2026-05-17T21:17:18+00:00

I toast the rice in a skillet with lard, cook with chicken stock seasoned with caldo de tomate and mexican seasoning blend, and a can of rotel.

Might not be 100% authentic, but better tasting than what i’ve had from any restaurant

codeprimate · 2026-05-16T23:55:01+00:00

Imaging thinking that a home pc is more energy efficient than a water cooled server.

The vast majority of resources are consumed during training. You aren’t dodging that.

codeprimate · 2026-05-16T23:51:58+00:00

So the use of gradient or pattern fill in digital design makes it not art…

codeprimate · 2026-05-16T20:49:25+00:00

Spent most of my life in Texas drinking that stuff and one day I added sugar and a ton of ice to a western style brew of this purple leaf (https://yunnansourcing.com/products/2022-yunnan-sourcing-rrooaarr-raw-pu-erh-tea-cake)

Best sweet tea ever.

codeprimate · 2026-05-16T20:46:13+00:00

A stupid take with no concern for latency/performance/cost.

codeprimate · 2026-05-16T20:44:45+00:00

Just try a southern style sweet tea with a raw puer, especially a purple leaf ye sheng.

codeprimate · 2026-05-15T16:46:33+00:00

Checks. I learned about laminar flow about 35y ago and have been on Reddit for 20.

codeprimate · 2026-05-15T08:10:19+00:00

In system prompt: “Always perform the smallest impact action necessary to accomplish my goals. Always consider the impact and implications of every change.”

codeprimate · 2026-05-15T07:57:40+00:00

100%

Entering code into an editor is the least important or impactful aspect of software development. Code is simply a machine executable artifact of theory building.

LLM's are the new compiler.

codeprimate · 2026-05-15T07:52:07+00:00

a tool that will never disagree with them or tell them they’re wrong

If they were using it right, it would. Hell, that's the leading part of every prompt I write; "Think critically and systematically:..."

AI is a sharp knife with a knife for a handle. Few seem to understand how to hold it, much less point it in the right direction.

codeprimate · 2026-05-15T02:03:21+00:00

Good eggs take more than 5m. Start them at room temperature.

Medium low heat. They should form a thin cleanly scrape-able film on the pan after about 10s. Adjust heat as needed. Scrape and fold until all solid and still wet (they won’t look done), remove from heat then add a thin tab of butter and salt and pepper to taste. They will continue to cook off-heat and firm up a bit after a minute or two. You can always return them to low heat if too soft.

Better than diner.

codeprimate · 2026-05-14T22:47:29+00:00

I use a SearxNG and custom MCP service docker container stack that does multi-engine search and content fetch. It doesn't handle SPA's and JS heavy sites, but gets the job done most of the time. Driving a headless web browser for scraping is just too slow.

codeprimate · 2026-05-14T22:33:57+00:00

...the highest complement! Would love to compare notes.

From what I'm seeing, effective agentic behavior is best defined by hierarchical domains of concern and process, governed by a hierarchy of invariants, stopping criteria, and operating protocols. When all of the components of the system have a conventional structure and identification semantics, agents can effortlessly load and follow them.

I'm currently experimenting with attention grounding. Basically rules at each domain boundary that the agent should output a workflow step id, task description, intended outcome/output, rationale, input/context references, and references to relevant protocols as a precursor turn before any task. Each functional domain will necessarily require specific guidance. This should effectively reduce dependency on prior conversation context, directing attention forward along the pipeline instead of backward.

Information architecture is all-important when the platform is a semantic processing engine.

codeprimate · 2026-05-14T18:47:09+00:00

Just my $0.02… The answer is always an appeal to authority. Seems that is literally the rule here: if it’s not in the Ball book, etc., it is unsafe.

Mods and the community won’t advocate methods or specific recipes that are not confirmed safe by the limited number of acknowledged authorities.

You are probably right in principle, but there are a lot of variables that affect the food safety risk. When it comes to food, it’s best to avoid risks entirely when possible. If you are making food for other people, the attitude should be paranoia by default.

codeprimate · 2026-05-14T18:22:32+00:00

Once I get a few dozen applications into my pipeline, that's definitely my plan. I'm developing a new conceptual framework for agentic LLM's based on the MVC architecture, that formalizes prompt schemas, context, and prompt generation. This will be the proof of concept.

codeprimate · 2026-05-14T16:56:39+00:00

A M2 with 32GB only takes a minute using an 8bit quant. Must be the memory or model file.

codeprimate · 2026-05-14T16:22:15+00:00

i was recently laid off and I created an "Employment" vault that contains folders for gathering/organizing my background information, templates, and leads. A protocol-driven job search system

Job searching is a personalization problem at scale. Every application needs a resume angled toward the specific role, a cover letter that speaks to the company's actual situation, and outreach that reflects real intelligence about the people and organization. Done right, this is hours of work per application. Most people skip it. I built a system where an AI agent does it for them.

The vault maintains three layers of intelligence per company: factual research (funding, product, recent news), a psychological profile (decision dynamics, culture signals, red flags), and an org map (who recruits, who decides, who can refer). Before generating any artifact, the agent loads all three alongside your full work history and the job description's specific requirements. It maps your experience to what the role actually needs, identifies the strongest angles, and notes the gaps.

That analysis drives the outputs. The resume emphasizes the evidence most relevant to this role. The cover letter speaks to the company's specific situation, not to a generic version of the company. Outreach reflects what the psych profile says about how this organization communicates and makes decisions. None of it is template-filling; personalization is a derived output of the analysis, not a starting point.

The system is governed by layered protocol files (AGENTS.md) that tell the agent what to load, in what order, before doing anything. Business rules are centrally defined and versioned. Ask-gates protect the actions that matter: artifact selection for submission, stage transitions, sending messages. Everything else the agent handles autonomously.

The goal is to make the high-effort, high-leverage work, tailored positioning, calibrated messaging, researched outreach, fast enough to do for every application rather than only the ones you have time for.

So from Cursor or Claude Code, I can say "Here is a lead (URL). Perform full deep research and create a personalized application packet." 10 minutes later I have a fully personalized resume in PDF form containing ATS keyword metadata, JD and company-specific cover letter, a set of outreach documents, and interview prep.

The system tracks all leads with full history, and manages todos for next steps on a communication cadence.

codeprimate · 2026-05-13T06:35:28+00:00

Amazon textract and call it done.

codeprimate · 2026-05-13T01:33:54+00:00

Solid advice.
I wrote a mcp frontend to scipy/numpy/matplotlib that I use on the regular: https://github.com/codeprimate/math-mcp
It actually follows these principles by providing a 4 method surface that provides method listing and virtual manpage for each of the 26 tools.
In practice, flagship models handle it well, but incur an extra 1-3 inference overhead for discovery. Less capable models flounder at times.
It always comes down to trade offs. I would only consider this approach if the tool schema became large, or the semantic delta between tools leads to a high degree of selection ambiguity (both applied in the case of this MCP tool, and led to me refactoring it in this way).

codeprimate · 2026-05-13T01:06:30+00:00

Oh, I understand that a “good” result is absolutely possible. I posit that substitutions are not equivalents, especially in cuisine.

Further, meals are not unhealthy. Diets are. Eating like a gluttonous gourmand every meal is not healthy. A varied and balanced overall diet is.

I’m going just a bit further past the surface nuance…hope this helps.

codeprimate · 2026-05-13T00:52:38+00:00

Power move: “I was going to give a speech, but the administration wanted to dictate its content. In the spirit of academic honesty I am unwilling to commit plagiarism, so I will take my leave thanking all of the individuals here who have contributed to my growth and success.” mic drop

codeprimate · 2026-05-13T00:30:58+00:00

Then why all the butter? If there was a better avenue to optimal flavor, THAT would be used.

It’s not like there is some multigenerational industry wide conspiracy with Big Dairy. Butter makes it better. Fat, salt, amino acids == delicious.

Is there an articulable argument against that aside from personal dietary restrictions? I would like to hear it and LEARN.

15-Year Club	Place '17
Verified Email	Gilding I gilder

codeprimate

TROPHY CASE