Show HN: BlastLoop, a structure-first coding method for AI agents
BlastLoop is a new framework designed to improve the reliability of AI coding agents by enforcing a structured, altitude-based development process. It requires agents to operate at specific levels of abstraction and pass through structural, operational, and adversarial testing gates before deployment.
Why it matters
As AI agents become more integrated into software engineering workflows, managing the risk of rapid, automated failure is critical for maintaining system stability.
BlastLoop is Ross Shaw's practical coding framework for AI agents: Blast , Mid , and Inner write code at different altitudes, then T1 structural , T2 bug/ops , and T3 adversarial test it in order.
Why it exists: AI coding agents make teams faster, but they also make failure faster. BlastLoop applies an operations mindset to agent work: each change has an owner at the right altitude, and every result passes structural, operational and adversarial gates in a fixed order before it ships.
Open newsletter / public write-up is live. Fuller BlastLoop explanation: WORLDWRIGHT Issue 3, AI Did Not Remove Engineering Failure. It Made It Faster.
Version: 1.0.0 Tagline: structure first, function second, attack third.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in