The interesting part of going from ¥0 to ¥1.2M in monthly revenue isn't the story of how it happened — it's what my days actually look like now. The short version: I don't wait for anything anymore.
Why this design works
In the mass-production phase of solo development, the first wall yo
If you've ever built a lead-gen pipeline for a local SEO or web design agency, you know the pattern: scrape a bunch of businesses off Google Maps, then manually eyeball which ones are worth calling. Missing website? Good lead. Unclaimed Google Business Profile? Also good. Both? Great lead. But sorti
1. Basic Information
Article Title: OpenAI admits it didn't disclose rogue AI wiki hijacking incident
Publisher: BleepingComputer
Publication Date: 2026-09-05
Source: BleepingComputer
Related Source: Discovery of a new OpenAI agent message board
Related Malware, Threat Groups, CVE, Produc
1. Basic Information
Article Name: Over 5,400 hacked sites serve ClickFix payloads stored on the blockchain
Publisher: BleepingComputer
Publication Date: 2026-09-05
Original Source: BleepingComputer
Related Information Sources: Netskope Threat Labs, Netskope Threat Labs IOC repository
Rel
Two issues landed in the agent-CLI ecosystem within a few hours of each other this week, in two different codebases, and neither is about a crash or a wrong result. Both are about a settings key that exists — in the schema, in the docs, in the UI — and then does nothing, because nothing in the execu
I built a tool that draws architecture diagrams from a repository, where every edge cites the file, line and commit it came from. Then I ran it against thirteen repositories it had never seen, and every single one of them found something wrong with it.
There were thirteen. These are the ones worth
Most "AI QA agents" audit your repo from scratch every time and end with LGTM. I wanted the opposite: a tester with memory, a failure taxonomy, a verdict contract, and no ability to touch the code it judges.
So in Verdict the model only judges. A stdlib harness measures everything else — timestamps
Pessoal, a gente não está deixando o harness nem o LLM mais inteligente. Nem com RAG, nem com MCP, nem com fine-tuning.
É disciplina: contexto direcionado na hora certa. Aí a predição acerta mais. RAG, fine-tuning ou MCP? A pergunta já nasce torta. Não compete. Cada um mora numa camada.
RAG é a kn
Build an editor on Flutter Web. The user opens budget.csv, edits it, hits
save. They get budget.csv in their Downloads folder.
They edit again, save again: budget (1).csv.
Again: budget (2).csv.
Their real file — the one on their Desktop that they opened — has never been
touched. By the end of an
Hey fellow developers! 👋
Like many of you, I've spent countless hours configuring build tools, writing endless strings of utility classes, or importing heavy JavaScript bundles just to achieve basic application layouts, responsive grids, modals, and dark mode.
I wanted something different: a frame