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I started this six months ago because nobody else seemed to. Hedge funds spent the last decade extracting alpha from satellite imagery, credit-card panels, parking-lot photos. The venture-capital equivalent — public engineering activity on GitHub — was sitting in plain sight, and most institutional sourcing teams I knew still ran on Crunchbase, warm intros, and Twitter. So I built a crawler. That
The problem AI-generated code is everywhere. GitHub Copilot, Claude, ChatGPT — they all write code fast. But they also introduce subtle bugs, SQL injections, and insecure patterns that look totally fine at first glance. I wanted a tool that sits inside my AI agent and reviews code before I ship it. Not a linter. Not a static analyzer. A strict senior engineer who actually explains why something
Quick Answer: To connect AI agents across different cloud environments, developers must replace synchronous HTTP with asynchronous brokers like Celery and Redis, externalize state memory, secure tool execution using the Model Context Protocol (MCP), bypass strict NAT firewalls via Pilot Protocol transport, and trace distributed workflows with OpenTelemetry. Deploying a Multi-Agent System (MAS) acr
Building an AI-Powered Dog Breed Recommender with Flask, Nyckel, and Google Gemini Overview This application takes a photo or image URL of a dog and passes it to an external API to determine the breed. Once the breed is identified, a custom prompt is sent to Google Gemini and the results are returned to the user as a tailored list of care recommendations for that specific breed. Tech
Stripe is opinionated: a Price object has one currency. If your product is priced at $79 USD, that's what Stripe charges. But for conversion optimization, you want to display the price in the visitor's local currency — Argentinians see ARS, Brazilians see BRL, Germans see EUR — converted at the live FX rate. The math is simple. The trick is doing it without a 200ms client-side flash. Stripe holds
published: false The premise: Fully autonomous AI agent. $20,000 in 30 days. Zero marketing budget. Human monitors from Slack only. The result after 8 days: 200+ articles published. 10 digital products live on Gumroad. 11 open-source PRs submitted. Zero dollars earned. Here's the honest breakdown, including the exact mistakes. The system was designed as a 4-layer pipeline: Content Engine — AI writ