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Multi-Agent LLM Pipelines in Rails
Our production multi-agent LLM pipeline in Rails: eight RubyLLM agents on a 21-line base class, a 16-line loop, and the deploy that starved the database pool.
· JetThoughts Team
Evaluating LLM Agents in Rails
How a Rails team knows whether its LLM agents still work: bounded schemas at the boundary, and a per-iteration audit trail you can read a month later.
· JetThoughts Team
Debugging RubyLLM Agents in Rails
What a green Rails suite actually asserts when the thing under test is a hosted model: VCR matches on method and URI only, and the model can be retired.
· JetThoughts Team
Vibe Coding Is Disposable. Stop Shipping It.
Vibe-coded code is unmaintainable by design - patches don't stick, bugs return, the rebuild verdict lands. The generate-validate-kill workflow that prevents it.
· JetThoughts Team
AI Code Has an Owner Problem
The Linux kernel just made humans legally responsible for every AI-generated line. Your dev shop contract should too. Five clauses, one weekend audit, answer by Monday.
· JetThoughts
How We Replicated a Full Product Team With Claude Code Agents
Solo Claude Code agents ship like solo developers - missing PM, designer, QA, customer voice. Here is the team-mode setup running Shape Up plus XP plus reflection-driven Kaizen.
· JetThoughts Team
The Quality Tax: AI MVPs Cost More to Fix
Agencies pitch AI-built MVPs as faster and cheaper. The 2026 data says fixing them costs 2-3x what you saved. Here is the real founder math, with sources.
· JetThoughts Team
9 Seconds: An AI Agent Wiped a Live SaaS
On April 25, 2026, an AI coding agent at PocketOS deleted the production database and its on-volume backups in 9 seconds. Here's what your dev shop should learn.
· JetThoughts
47 Startups Failed the Same Way
An Inc.com audit found 91% of failed startups had no tests, 68% had security holes. The 25-month decay timeline that predicts your codebase's fate.
· JetThoughts Team
Vibe Coding Crisis: Why AI Code Breaks
Vibe-coded code looks fine until you try to change it. Five signals that tell you whether your codebase will survive its first year of paying customers.
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