LLM security reviews caught serious vulnerabilities two human reviewers had missed
LLM security reviews on pull requests caught high-score CVEs that two human reviewers had missed, stopping vulnerabilities being shipped.
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Work
Jobs, side gigs and small business · 1,668 ideasThe AI implemented graphics spec features he has verified but not yet sent upstream
Implemented SVG2 CSS geometry properties in resvg with AI; read the small diff and knows it works, but has not sent the PR.
This only partly worked. Worth knowing before you try it.
Meeting transcripts become Slack recaps, and the AI offers to take his tasks on
His meetings are recorded with Fireflies. On a set routine, the AI takes each transcript and posts a Slack recap to everyone who was in the meeting, with the action items and who owns each one. A second routine scans his meetings for tasks that fall to him and works out which ones the AI could do instead, then offers to run them in separate sessions.
A weekend on the cheap tier built enough of a platform's features to make it useful to him
Used the AI on the 20 dollar tier in a weekend to build good enough coverage on Floci features to make it useful to him; others then continued the work.
$20
His team let the AI handle Sentry alerts in Slack for three months
An engineer at Sumasate writes that his team connected the AI Tag to GitHub, Sentry, their database, log tools and Notion, and let it do the first look at every alert in Slack. After three months, fixes finished inside alert handling went from about 2 of 38 alerts a month (5.3 percent) to about 7 of 44 (15.9 percent).
His AI skill turns plans into a Jira epic with a ticket per milestone
The AI skill plan-to-epic creates a Jira epic and a ticket per milestone, used to persist agent context and to show his work.
The AI kept losing my Excel file. A third of my time went to re-feeding it.
He used the AI for two weeks of daily Excel updates. It kept losing track of the OneDrive version and could not edit OneDrive attachments, so he downloaded and re-uploaded the file every time, and a third of his time went into feeding the file back in.
This one went wrong. See what happened before you try it.
Bud, the agent he talks to, guards his margins and refuses off topic questions
He is not a developer. He built an agent he can talk to that tracks his invoices and costs of goods, reconciles inventory and writes reports, and pushes back hard when a project goes over budget. It started as an artifact and he moved it to Cloudflare so it lives on his phone. He is now thinking about making it a tool for his whole industry.
His governed agent system checks production logs daily, files bug reports, and deploys twice a day
A developer runs his own repos and production server under a written constitution file in every repo. Automated runs check production logs daily and file bug reports. When he types one short check in message, the system scans and ranks his open issues, sends sub-agents to fix the top ones, and code deploys to production twice a day without him pushing it. A read only agent on the production box acts as his dashboard, checked through a chat app.
The AI sorted my 500 messy desktop files and filed 490 where I wanted
Diana at AI Agents Library gave the AI 500 loose files from her real business desktop. It proposed a folder plan first, she approved it, and it filed 490 where she wanted them, held 10 back for review instead of guessing, and caught all 48 exact duplicates and all 34 renamed ones.
Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.