DEV Community: Rákóczi Piroska

The Real Problem With vibe-Coding or Why Faster is slower?

Rákóczi Piroska — Fri, 10 Apr 2026 12:19:34 +0000

If you expect security and efficiency with an AI coder like Replit, you need to follow strict workflow rules. I'll just briefly talk about them. This way of working doesn't take away from the experience that Replit can provide, that you can code quickly something that your intern can code slowly, but if you also write prompts to prevent and/or fix Replit's errors - well, that makes the faster one slower. Why?

You will need at least 6 prompts

These prompts are the followings. These were useful in a certain case. Making them useful you should apply to your project.

A security guard prompt
“Help me implement [TASK] in Python, following strict security rules:

Use only well-known, actively maintained libraries.
Avoid newly published or obscure packages.
Pin all dependency versions explicitly (package==x.y.z).
Never include API keys or secrets in code. Use environment variables.
Before finalizing, simulate a pip-audit and flag known vulnerabilities.
Validate all user inputs against injection or malicious data.”

A transparency prompt
"Modify popup.css [your request]. Strict condition: List each file you plan to modify before you start coding! If you need to touch popup.js or manifest.json in addition to CSS, explain exactly why. Do not make 'silent' changes to files that you did not mention in your answer!"

A diff summary prompt
"I see that the content of the popup.js file has also changed, even though it was only the CSS. Generate me a complete list of all the files you modified in the last round! Write a sentence next to each file explaining exactly what you changed and why. In the future, start all your answers with a 'Change Log' like this before you update any code!"

A lockdown prompt
"We are currently working exclusively with the popup.css file. I am disabling access to edit the popup.js and manifest.json files for this round. If my request cannot be fulfilled without modifying the JS, then do not write code, but report the technical obstacle! Work only in the file I have designated and do not perform background work on other modules!"

A structural inspector prompt
"My goal is to update the look of the Chrome extension in popup.css. Don't generate new HTML elements from Javascript, and don't change event listeners. If you feel like you need to change popup.js for a design element, stop and ask me before you rewrite anything! Just work with the existing CSS selectors for now."

A code quality enforcement prompt
"Act like a Senior Full-stack Developer. Take a critical look at the current state of [filename]. It seems like we've produced 'spaghetti code' while fixing the bug. Please don't just fix the bug, but refactor the code: make it modular, clean, and follow [language/framework, e.g. React] best practices. Pay special attention to type safety and error handling to avoid similar regression bugs."

How could this be made faster?

At first it will be even slower, because you will have to save all the prompts you have written. It would be best if you had a Chrome extension that would save the prompts with a single click after you type them. The extension would organize the prompts into an FAQ-like system. Then you would just have to access the Chrome extension, find the prompt and CTR C, CRT V. Are you interested in such an extension? Write it in the comments, please.

How to Find SME Customers of Your AI Product?

Rákóczi Piroska — Sun, 29 Mar 2026 12:29:49 +0000

You program what you feel like doing. That's OK. But believe me, it won't be 3 months before you feel like you've put in so much effort that you should be getting paid for it. But who's going to buy that? And this is where most tech people hit a dead end. And yet...

There is a way out of the dead end
First of all, you should know that most AI tools do not save enough working time and that is why SMEs do not buy them. It is worth developing AI stuff that does not speed up work, but gives humanity new tools (no exaggeration!) that they can only get from this new technology. For example, an AI tool for the blind that reads colors from an image. This could be an aid for a packaging worker. In other words, those people can develop useful AI tools who can dream up AI tools like writers dreamed up television back in the day. (Just a parenthetical comment. Maybe it is worth reading science fiction novels with this kind of eye.) However, this is a very rare case. This is not the best way out of the impasse. The best way out is to rephrase your question.

Who is the SME leader who would buy an AI tool?
The ideal customer for AI tools is the SME executive coming from a multinational company. Why? Someone coming from a multinational faces two things in a medium-sized company that hurt them:

Data vacuum: They are used to getting market analysis, competition monitoring and legal due diligence at the click of a button at the multinational. They are groping in the dark at the SME.
Structural chaos: They see 10 people doing work that at the multinational was solved by well-configured software and 2 operators. For them, AI is not a "miracle weapon", but an infrastructure supplement.

But what tools would he or she actually buy?
Which is a painkiller for them. So, they respond to the following problems by spending money:

Decision paralysis: They have no data on market trends -> They buy the AI-based predictive analytics.
Scalability barrier: They would like to hire 20 more people, but they can't find them -> They buy the AI, which will double the efficiency of the existing 20 people.
Audit fear: They are afraid that the colleges will cheat during an audit -> They buy the automated compliance/legal monitor.

How big is the market?
This sounds good so far, but how big is this market?
The statistics: About 18-22% of mid-market (100-500 employees) leaders will come from large-enterprise (Fortune 500 or Big Tech) backgrounds in 2025-26.
Why is it happening? Due to layoffs at large tech companies and burnout of "gray eminences", many senior leaders (VP, Director level) decide that they want to be a "big fish" at a smaller company, where they have real influence on processes.
The window: The first 90-180 days of a new leader is when they want to "set things right". This is your sales window.

A service can help you
You may think now that you can find these SME leaders. I can tell you: you needn’t. There is a person who is good at sales and programming who could bring you 2-3 such leads per day. The hourly rate for a senior developer (you) in 2026 should be $80. If you write the codes of a tool finding these leads yourself and maintain the necessary bots, and you clean the data, that's at least 10-20 hours per month. That's $800 - $1600 for you.
If you give it to service provider for $150/month, you are in pure profit. Would you give it a try…

Content Marketing in 5 Steps for Tech Founders

Rákóczi Piroska — Mon, 16 Mar 2026 13:30:31 +0000

Many tech founders struggle with writing. That’s completely normal. However, if you want to succeed in your market, your product website should contain at least 4–5 well-written blog posts.
If you also want your website to perform well in SEO, you’ll need multiple blog articles that link to each other in a structured way. Internal linking between relevant posts is a classic and effective SEO method.
Yes, link-building platforms and backlinks are important, but an old and proven strategy is to build your own network of real blog content.
So, if you’re not a strong writer, does that mean you have to suddenly become one and write endlessly? Not at all. The truth is that you can write — you may simply have been approaching it the wrong way.

1. Stimulate Your Brain Before Writing

Different people unlock their creativity in different ways.
The German poet Friedrich Schiller reportedly smelled rotten apples before writing. Some people get their best ideas while walking. Others think better while listening to music. There was even a Hungarian writer whose wife would lock him in a room close to his deadline and refuse to let him out until he finished his manuscript.
Today, many people turn to artificial intelligence for help. That can be useful — but it should usually be the last step, not the first.
The first step is creating the right environment and mental state for writing.

2. Use Interviews as Inspiration

This method is simple and surprisingly effective.
Find interviews with developers or founders who created products similar to yours. Alternatively, read interviews where experts discuss your competitors’ tools.
Select the three most interesting questions and write your own answers to them. Then turn those questions into subheadings.
If the text still feels unfinished, you can give it to an LLM and ask it to generate an introduction and conclusion. With that, your first blog post is ready.

3. Write a “Making-Of” Post

Take a sheet of paper and write down the different phases of building your product. Don’t worry about the order at first — just list the stages as they come to mind.
Once you have them all, categorize them by difficulty. Then arrange them in chronological order.
For each phase that required a key idea or creative solution, explain how you came up with it. When you’re finished, ask an AI tool to turn your notes into a blog post titled something like:
“How We Built [Your Product Name]”
This type of behind-the-scenes content is very engaging for readers. And it would be a strong plus, if you wrote the fortunate events, simply because having good luck is interesting for the readers.

4. Use a Structured (Even Schematic) Approach

If writing still feels difficult, try a more structured method.
Look at reviews of similar products. Many reviews follow a predictable structure: they describe features, advantages, and typical use cases.
Write short sentences based on these patterns, but replace the product name and features with those of your own product.
Your text might feel a bit mechanical — and that’s okay. Give the draft to an AI model and ask it to rewrite the text with richer vocabulary and more natural phrasing.
The result will be a polished article built from your structured notes.

5. Write News Using the 5W + 1H Method

Think about events during your product development that could be interesting.
For example:
• Someone on your team discovered the cheapest reliable hosting provider.
• You finalized the color palette for your entire website after a long discussion.
• A technical breakthrough solved a persistent bug.
Each sentence (or pair of sentences) should answer one of the classic journalistic questions:
Who, What, When, Where, Why, and How.
Even if you only answer three of the W’s plus “How,” that’s perfectly fine.
Once you’ve written these short notes, explain why each event mattered. Then select the most unique or interesting moment and ask an AI tool to generate questions about it. After answering those questions and organizing the responses, you will have a complete blog post.

Summary

Tech founders don’t need to be professional writers to create effective blog content. By using structured methods — such as interviews, development stories, schematic reviews, and the 5W+1H framework — any founder can turn their knowledge into valuable articles. With the help of AI for editing and polishing, even simple notes can become engaging blog posts that improve SEO and strengthen a product’s online presence.

Chrome Extension in Almost Zero Minute

Rákóczi Piroska — Mon, 20 Oct 2025 11:36:17 +0000

If you read this story, you might be shrugging your shoulders. "Okay, I managed to make a Chrome extension in 5 minutes. What's that?” But if I told you how many hours of work it took to come up with that five-minute solution, you'd ask, why didn't I start with Agent-Zero?

The False Lure of Free

What did I actually make? A Chrome Extension that logs and makes searchable the online marketing activities of a guerrilla online marketing specialist on the web.

I thought it was small enough to fit into free vibe coders. And I wasn't wrong. Three services wrote codes, but none of them worked. Two services said that the manifest.json program part needed to be rewritten. No matter how I rewrote the manifest.json codes again and again and again, it simply wouldn't start.

Then let's pay, but it matters how

I have an agent that runs on my machine in a Docker container. Anyone can download and use it for free, you just have to pay for one of the LLM API keys - or you musn't pay even for that. So why don't I try this?

And it worked. That is, it didn't work. I couldn't create a working extension with Agent-Zero either. But he told me why. He said that the manifest.json is not good because the background file is not good. That's where the problem lies. But the problem was with me.

You have to be able to notice

The mistake was that I left out the letter "k" from the name of the background file. If Agent-Zero doesn't tell me to check the background file, I might as well scrap the whole plan.

What's the lesson from this?

No, it's not just about being attentive. It's also about using an agent that makes LLM capable of real dialogue. The solution wasn't about LLMs. It wasn't about paying a few cents to use the API. I could even use free LLMs form Venice.ai The key to the solution is in the structure and memory of Agent-Zero. This opened the door for me to a solution. You may try Agent-Zero too.

How to solve dictionaries versions problem?

Rákóczi Piroska — Fri, 10 Oct 2025 08:45:32 +0000

Managing library dependencies is a notorious challenge in software development. A task like reconciling compatible versions of NumPy, Pandas, and Selenium can consume hours, if not days. While experienced developers might navigate this with confidence, it remains a significant bottleneck.

AgentZero offers a powerful solution. It is a local AI agent designed to automate complex, information-based tasks, including dependency resolution.

Consider a recent case: one of our developers faced a project requiring the reconciliation of eight different libraries, a task he estimated would take a full day. By delegating the problem to AgentZero, he received a perfect, conflict-free configuration in minutes.

AgentZero is more than just a programming assistant. It's a versatile tool capable of handling a wide range of tasks, from generating images and writing text to automating email workflows.

Key Benefits of AgentZero:

Local and Free: AgentZero runs on your machine and is completely free to use.

LLM Agnostic: It works with a wide variety of Large Language Models.
Privacy-First: For confidential projects, you can integrate AgentZero with Venice.ai, a private and uncensored LLM provider, ensuring your data never leaves your environment.

Enhanced Capabilities: AgentZero goes beyond standard LLMs by providing superior context management, memory, and intelligent task design, leading to more accurate and reliable results.
Whether you're solving dependency conflicts or building complex automations, AgentZero helps you get it right the first time. To get started, simply install Docker and add AgentZero to your toolkit.

Do you often have a version incompatibility issue in Python?

Rákóczi Piroska — Mon, 06 Oct 2025 12:37:59 +0000

When was the last time you struggled to find compatible versions of different Python libraries? If you're a black belt Python programmer, you probably know which version of NumPy works with which version of Pandas. But do you also know which version of Selenium is compatible with other libraries you use in your program?

What is a simple solution to the version number reconciliation problem?

You may have heard of AgentZero. It is an AI agent that runs on your own machine and is excellent at solving the version number reconciliation problem.
One of our programmers was working on a new project and had to reconcile 8 libraries. He said it would take a day. Then he had an idea. What if he gave AgentZero the task?
And he gave it to him. And the result was there in no time. And was it good? It was perfect.

You can solve it too...

To overcome this difficulty so easily, all you have to do is download Docker and add AgentZero.

But there so much more

I'll tell you something. AgentZero is not an AI agent designed for programming. It can solve a lot of tasks, from image generation to text writing to email automation, almost anything that can be done with information. And the best part...

How much does it cost you?

AgentZero is **free **and works with a wide variety of LLMs.

If your project is confidential...

If you have a task that requires maximum privacy, AgentZero is the best solution. Because you can use Venice.ai with it, which is a private and uncensored LLM collection.

Is it worth all those installations for a good version number?

I myself have recently created several chrome extensions with vibe coders. The only extension that worked perfectly the first time was written in AgentZero. The LLMs were the same, but with the additional knowledge of AgentZero (excellent context management, great memory, smart design, etc.) I got a version that didn't require any fixes. What do you have to lose by trying it out?

What is the perfect solution for AI agent security?

Rákóczi Piroska — Fri, 19 Sep 2025 10:46:47 +0000

Agent0 and Venice.ai, two natural complements in the world of artificial intelligence, have connected. It means that there is a quintessential solution for harnessing the full potential of AI technology while maintaining unwavering commitment to privacy. Sounds complicated? Let’s break it down.

What is Venice.ai?

Venice.ai is the best LLM collection in the crypto world. It is an AI chatbot with 2 huge advantages over its competitors. On the one hand, its architecture allows the user's AI prompts to be 100% private. All data stays on your device, not on their servers. On the other hand, Venice offers the most uncensored models for a truly unrestricted AI experience.

What is Agent0?

Agent0 is the “master mind” of free AI agents. It is your own self-hosted AI powerhouse, ready to execute and automate demand. Agent0 with 3000+ people on discord and 1600+ followers on skool controls its own virtual computer and can accomplish any task. It can install software, execute code, connect anywhere, use browser and much more.

Why does self-hosting matter?

I would like to illustrate why this is so important with a practical example. Let's say a company wants to automate the writing of weekly reports that contain analytics. The company's manager has a hunch that some of their employees are using external LLMs to prepare productivity reports. The CEO wants to eliminate this practice because he wants to keep their employees' income data safe. This is when Agent0 and Venice.ai come in very handy. How?
Agent0 can do everything for making the report inclusively counting productivity without leaving the laptop of the college – and it can do with LLMs that don’t send and share the prompts with anyone.
In other words. Privacy is an issue for Agent Zero because it has memory, learns as you use it, so it may hold sensitive information about the user or his company. This issue is solved, and the collaboration with Venice.ai even closes the last gap. If AO is used with Venice.ai not even a single prompt can get out of security control.

Our community is at work

Agent0 already has a community of curious developers. We are at the beginning of our collaboration with Venice.ai. Community members are now testing the 14+LLMs that users can access in Venice.ai.

Until then

If you are a developer and have a cherished dream of a project that you don't want to make public yet, then this article is definitely for you. Agent0 is fully scalable, and Venice.ai guarantees that not a single thought will leave your computer and go online. They say it's worth a try. You can join the community here: https://www.skool.com/agent-zero

When nobody should have invested

Rákóczi Piroska — Thu, 07 Aug 2025 12:13:22 +0000

I examined 6 startups whose members deceived their investors in some way. The 6 startups were: Theranos, WeWork, Nikola Motors, builder.ai, FTX, Frank. The primary goal of the investigation was to determine what the early signs and common features are that would indicate that the startup is fraudulent. I found 3 such signs.

Telltale signs

One telltale sign is that a startup's early marketing mix is disproportionately heavy on PR. The founders of such startups are going from studio to studio and conference to conference. And here, alongside our main question, arises why journalists believe them.

Another telltale sign is that the startup does not appear to pose a threat to the established companies in its market. For example, Uber poses a major threat to traditional taxi services, while WeWork itself did not pose a threat to office publishing companies.

And the third is that they have connections to famous people and it's even possible that they have insiders at big companies that are looking to them to be investors. The second half of the claim is just a hunch for now, I can't prove it.

Why don't I blame the investors?

There are 3 main reasons why investors don't notice when a startup founder cheats. Reasons that are known in psychology. So I don't blame them. The vast majority of people would do the same as investors.

I will write about these three reasons in my next post.

Where are those famous prompt engineer positions?

Rákóczi Piroska — Fri, 20 Jun 2025 19:28:49 +0000

Let me start with a personal story. Once, a major Hungarian foundation where I worked announced a competition and the competition included an entry fee. Since the competitors were companies, we approached everyone before the competition. One company was selling such an unmarketable SaaS product that I told the president of the foundation not to accept money from them because I saw that they were going to go bankrupt. Of course, the president of the foundation accepted the fee. And the company went bankrupt...

Hasn't gone bankrupt yet
When prompting started, a Hungarian guy wrote a book about it and taught everyone how to prompt. His promise was that there would be a lot of prompt engineering jobs. He said that it would be a profession.
However, after a short time, I read in several authoritative sources that AI is heading in the direction where we will give our instructions entirely in everyday language. So why would there be prompt engineering jobs?
This guy hasn’t gone bankrupt yet, but I haven’t seen a single prompt engineering job advertised among his students.
Did you see it?
Yes, there are still areas of AI where you need special prompts. But companies don't hire a separate person to write them. The task can be learned in 3 days. Or have you ever seen a job advertisement where they were looking for a prompt engineer and the applicant didn't need to know a single programming language?
If you saw many I would post them here: [https://piroskarakoczi.hu]
What's the moral here?
I should say somehow to people don't put energy into studying for the past. Do you think, I should?

3 short comments on AI agent lawsuits

Rákóczi Piroska — Mon, 16 Jun 2025 10:18:18 +0000

I have examined real lawsuits of AI agents, and I concluded that without 3 main pillars the most money of most cases will be earned by word jongleurs.
A list of harms AI agents can do
If AI agents work on behalf of human users, then the actions they make are not infinite. As the number of verbs are limited in any language, the number of harmful acts is limited. If you wish you can see a list of potential harms here: https://aiperse.org
If we know what AI agents can do, we can regulate them. Otherwise, do we know what we are talking about?
Clear definitions carved in stone
In many lawsuits people are discussing whether an AI agent is a person or not. Has it got right for free speech? What is an agent at all?
Until we don’t make a list of what NOT AGENTS are, we will never know what agents are. (I know it would be a big alteration to the legal system of the US.)
Without ethical approach you can never judge and regulate this domain
If we push out all ethical considerations from law, there are situations where we don’t have a stable ground to making judgements.
Number one: the user must not use the agent. He is free to make a choice. Yes? No. There will be and are situations where there is no choice. In this case can the user be responsible for what he does? Is it a forced action?
Number two: if the user is targeted by marketing tools to do something that he regrets later and he can prove that he was tempted, who is responsible? Who is more responsible: the tempter or the tempted?
I have written this all alone without using any AI tool or agent. But I must cote Seyfarth about my responsibility. The text, written by me, Piroska Rakoczi “should not be construed or relied on as legal advice or to create a lawyer-client relationship. Readers should not act upon this information without seeking advice from their professional advisers.” (source: https://www.seyfarth.com/news-insights/mobley-v-workday-court-holds-ai-service-providers-could-be-directly-liable-for-employment-discrimination-under-agent-theory.html)