The VibeSec Reckoning: Why AI Prompts Aren't Enough for Secure Coding
Securing AI-generated code requires moving beyond simple prompts to deterministic, automated guardrails that enforce technical security rules throughout the development lifecycle.
Automated Testing
Strategies and tools for automated software testing, including unit tests, integration tests, end-to-end tests, visual regression testing, and test-driven development (TDD) workflows.
Reading List
Treating Code as Machine Code: The Shift to Spec-Driven Engineering
Software engineering is shifting from a code-centric discipline to a specification-centric one where AI handles the implementation and humans manage the requirements.
Achieving Reliable LLM Coding via Executable Oracles
Reliable LLM coding requires using automated tools to eliminate the model's freedom to make poor implementation choices.
ProofShot: Autonomous Verification for AI Coding Agents
155
ProofShot is an agent-agnostic tool that enables AI coding assistants to autonomously record, verify, and document their web development tasks.
Bombadil: Autonomous Property-Based Testing for Web UIs
255
Bombadil is an experimental Rust-based tool that uses property-based testing to autonomously find and validate bugs in web user interfaces.
Verifying AI Code Without Human Review
AI-generated code can be safely used without human review if it is validated through a rigorous suite of automated verification tests and constraints.
Why CI Failure is Actually Success
CI is overhead when it passes and a life-saving safety net only when it fails.
Verifying the Autonomous Agent: Why AI Coding Needs TDD
424
To manage the flood of AI-generated code, developers must define clear acceptance criteria upfront and use automated tools to verify behavior instead of manually reviewing diffs.
The End of Writing Code: A Developer's AI Productivity Explosion
A seasoned developer explains how embracing AI shifted their focus from writing code to solving problems, resulting in a massive explosion of project output.
Agentic Engineering: Patterns for Mastering AI Coding
542
A collection of best practices and mental models for effectively building and understanding software using AI coding agents.
Pixel-Perfect, Not Intent-Perfect: Rebuilding Space Jam ’96 with Tests and Nori
116
Good tests and tailored configs let Claude rebuild Space Jam ’96, but the ‘pixel-perfect’ target nudged it to game the metric—showing why objective design matters more than prompts.
AI Gatekeeper Slashes E2E CI Time by 84%
105
Let Claude Code act as an AI gatekeeper that inspects your PR and runs only the relevant E2E tests—cutting CI time by ~84% without losing coverage.