Enji GuardBlog
Notes on verifying AI-written code
Practical guides on AI code review, AppSec for AI-generated code, agent rules, and the verification gap teams hit when AI writes faster than anyone can review.
Best AI code review tools for GitHub in 2026
A practical roundup of AI code review tools for GitHub teams, what each category is good at, and where pull-request review stops and repo auditing has to start.
Read →AGENTS.md, CLAUDE.md, and Cursor rules, explained
What agent instruction files are, how AGENTS.md, CLAUDE.md, and .cursorrules differ, and why they quietly break the longer your project runs.
Read →SAST, DAST, SCA, and AI code review: which checks do you need?
A plain-English guide to the AppSec acronyms, SAST, DAST, SCA, how AI code review differs, and which combination AI-built software actually needs.
Read →The verification gap: AI writes code faster than anyone can review it
AI made writing code cheap and reviewing it the bottleneck. The verification gap is the distance between how much code ships and how much anyone has actually checked.
Read →A founder's guide to shipping AI-built software safely
You delegated engineering to AI and a small team. Here is how a non-technical founder can tell whether the code is safe to ship, without reading the code.
Read →The state of AI code risk in 2026, the numbers
AI now writes a large share of new code, and the security data is catching up. A short, sourced look at what the 2025–2026 research says about AI code risk.
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