WWI era poison gas, tear gas, potassium cyanide, and bunch of explosives like acetone peroxide.

LLMs have all of that knowledge in training data

I did create my own MCP with custom agents that combine several tools into a single one. For example, all WebSearch, WebFetch, Context7 exposed as a single "web research" tool, backed by the cheapest model that passes evaluation. The same for a codebase research

Use it with both Claude and Opencode saves a lot of time and tokens.

And while security rules created enormous roadblocks for work, whey also left enough holes to be exploited. Before getting required permissions, I managed to create dual boot with linux and share files between 'approved' and 'illegal' systems

I see it's necessary ALL the time. The AI generated code can be used as scaffolding, but it's newer get close to real production quality. The expierence from small startup with team of 5 developers. I do review and approve all PRs, and none ever able to pass AI code review from the first iteration.

1. create several hundreds github repos with projects that use your product ( may be clones or AI generated )

2. create website with similar instructions, connect to hundred domains

3. generate reddit, facebook, X posts, wikipedia pages with the same information

Wait half a year ? until scrappers collect it and use to train new models

Profit...

Since some team members started using AI without care, I did create bunch of agents/skills/commands and custom scripts for claude code. For each PR, it collects changes by git log/diff, read PR data and spin bunch of specialized agents to check code style, architecture, security, performance, and bugs. Each agent armed with necessary requirement documents, including security compliance files. False positives are rare, but it still misses some problems. No PR with ai generated code passes it. If AI did not find any problems, I do manual review.

This came out of necessity, as active using of AI assistants in uncontrollable way significantly degraded code quality. The goal is to enforce the same development workflow across team This is internal tool. If someone interesting, I can create a public repo from it

I organize notes by tags, folders, and links from tree of "map of content" notes. Those documented as rules for AI. All notes came to "Inbox" folder, and from time to time I run special script that checks inbox, formats notes, tags them, and put in the most appropriate place. "git diff" to check results and fix mistakes, reset if it went wrong.

As notes organized by the limited number of well defined rules, they became easy to search and navigate by AI. Claude Code easily finds requested notes, working as advanced search engine, and they became a starting point for "deep research" : find relevant notes, follow links, detect gaps, search internet. Repeat until reach required confidence level.

The most advanced workflow so far is combination of TRIZ (Theory of Inventive Problem Solving) + First Principles Framework. Former generates ideas and hypotheses, later validates them and converge on final answer.

Even when error message was clearly understandable for my expertise, it took surprisingly long tome to switch from one mental activity - "Pay bills", to another - "Investigate technical problem". And you have to throw away all short memory to switch into another task. So all rumors about "stupid" users is direct consequence from how human mind works.

- you create small utility that covers only features needed only for you. As many researches show that any individual uses only less than 20% of software functionality, your tool covers only 10-20% that matters for you

- it only runs locally, on user computer or phone, and never has more than one customer. Performance, security, compliances do not matter

- the code lies next to application, and small enough to fix any bug instantly, in a single AI agent run

- as a single user, you don't care about design, UX, or marketing. Do the job is only matter

It means, majority of vibe coded applications run under radar, used only by a few individuals. I can see it myself: I have a bunch of vibe code utilities that never intended for a broad auditory . And, many of my friend and customers, mention the same: "I vibe coded utility that does ... for me". This means a big consequences for software development: the area for commercial development shrinks, nothing that can be replaced by the small local utility has a market value.