Page 2 of blog articles on vibe coding tools, workflows, and AI-powered development.
Fix the most common security gaps in Lovable-built apps. Covers Supabase RLS, API key exposure, input validation, authentication, and a 90-minute self-audit checklist.
Side-by-side comparison of 7 OpenClaw alternatives for indie developers. ZeroClaw, NanoBot, Claude Code, Codex, and more with pricing and security.
One gives AI agents authenticated access to 250+ platforms via a single CLI and MCP server. This review covers features, pricing, security, and how it compares to Composio, Zapier, and other integration tools.
March 2026 transformed Claude Code with Channels (Telegram/Discord), Remote Control, Dispatch, and /loop scheduling. Here's what changed, how to use it, and whether you still need OpenClaw.
Gumroad founder Sahil Lavingia converted his bestselling book into 9 executable Claude Code skills. We break down each skill, how to install them, what the community thinks, and why this is the future of business knowledge.
Framer review covering AI site generation, visual editor, CMS, pricing, and how it compares to Webflow. Find out if Framer is the right website builder for your next project.
Alibaba discontinued Coding Plan Lite ($3/mo) on March 20, 2026. Here's what existing subscribers should do, whether Pro at $50/mo is worth it, and the best alternatives.
Paperclip (companies.sh) is an open-source framework where AI agent teams are organized as companies – CEO, Engineer, and QA roles coordinate via projects, issues, and heartbeat schedules. Here is an honest look at what it does and who it is for.
How to audit Cursor-generated code for security, performance, and production readiness. Includes a step-by-step checklist, free tools, and copy-paste audit prompts.
Step-by-step guide to self-hosting OpenClaw on a VPS. Covers Hetzner, Oracle Cloud, DigitalOcean, and Linode with Ubuntu 22.04 setup commands, security hardening, and HTTPS configuration.
Step-by-step OpenClaw setup guide for beginners. Deploy on a VPS, connect Telegram, add Google Workspace, configure security and model routing – no code required.
Real pricing data for cleaning up vibe-coded apps. Security audits from $500, architecture fixes from $2,000, and when DIY saves you thousands. Breakdown by problem type and project size.
How to take your AI-built MVP to production. A step-by-step process covering audits, fixes, hardening, and deployment for vibe-coded apps.
AI-generated code ships with 2x the vulnerability rate of human-written code. Learn the 7 most common security risks in vibe-coded apps and how to find them before attackers do.
Real OpenClaw costs broken down: VPS hosting, API tokens by model, routing strategies, and total monthly spend from $6 to $200 by use case.
Practical guide to fixing broken AI-generated apps. Covers authentication, database, performance, and security issues with step-by-step repair workflows for indie founders.
Lovable vs Google AntiGravity compared for 2026: pricing, features, code quality, target audience, and honest recommendations for builders who want to pick the right tool.
ClawHub skills run with full system access, zero sandboxing, and no audit process. Here's what that means for your code, your credentials, and your machine.
Step-by-step guide to auditing vibe-coded apps. Includes an 18-check security checklist, free scanner tools, professional audit pricing, and real-world examples from indie founders.
The complete guide to agentmaxxing – running multiple AI coding agents in parallel. Multi-agent workflows, terminal setups, git worktrees, and honest limits for Claude Code, Codex, and Gemini CLI.
Independent cmux review covering features, Ghostty comparison, and multi-agent workflow. Honest take for macOS developers running AI coding agents.
Independent A0.dev review – YC-backed AI mobile builder. React Native apps from text prompts. One-click App Store publish. Free tier, Pro from $20/mo.
Independent AGENTS.md review – the open standard for giving AI coding agents project instructions. 60k+ repos. Linux Foundation backed. Free.
CodeRabbit, IEEE Spectrum, and METR all measured the same thing: AI-generated code has more bugs, more security issues, and takes longer to debug than writing it yourself.