Gumroad launch QA checklist: what to verify before publishing a ZIP product
A practical Gumroad launch QA checklist for ZIP-based digital products: file integrity, SHA256, listing honesty, support policy, and public smoke tests.
Prompt injection in AI-generated code: how to spot and prevent malicious prompts
AI coding agents are transforming how developers write software. Tools like GitHub Copilot, Cursor, Claude Code, and Codex generate millions of lines of code daily. But there is a growing threat that most developers have never considered: prompt injection in AI-generated code. Prompt injection — when an attacker manipulates the instructions given to an AI
Vibe coding security: why fast AI code needs slow review
Vibe coding — the practice of writing software by describing what you want to an AI assistant and accepting its output with minimal review — has become one of the most divisive topics in software engineering. Developers ship faster than ever. But the speed comes with a cost: AI-generated code can introduce subtle security vulnerabilities,
AI coding agents and supply chain risk: how to verify dependencies before merging
AI Coding Agents and Supply Chain Risk: How to Verify Dependencies Before Merging When an AI coding agent adds a dependency to your project, it does not tell you whether that package is maintained, whether it has known vulnerabilities, or whether it was published by a trustworthy author. It just adds the line to your
Secret scanning for AI-generated code: why your diff might be leaking API keys
Why AI coding agents leak secrets in diffs, the six types of secrets to scan for, and how to build a lightweight secret-scanning gate before merging AI-generated code. With implementation examples for GitHub Actions CI.
CI gates for AI-generated code: stop risky changes before they reach production
How to build lightweight CI gates that catch risky AI-generated code patterns — scope creep, leaked secrets, bad dependencies, data destruction, security holes, and test mirages — before they reach production. With implementation examples for GitHub Actions and GitLab CI.
Agentic coding risk review: a practical workflow for teams using AI coding agents
A long-form practical workflow for reviewing AI coding agent changes before merge, with security, data, dependency, testing, and rollback checklists.
AI code review checklist for small software teams
A seven-question pre-merge checklist for reviewing AI-generated code in small teams. Covers scope, security, data persistence, error paths, test quality, plain-language explanation, and rollback — with real-world examples and escalation guidance.
How to review AI-generated code before you merge it
A practical five-check review pass for AI-generated code: scope, security, data, runtime, and rollback. Structured, repeatable, and designed for small teams who cannot afford a separate AI-safety review board.