Your AI Coding Agent Has 7 Problems
We've built 1.1 million lines of code with AI assistance. Here are the symptoms that emerge when AI-generated code lacks behavioral verification — starting with the most dangerous.
Wiring Failures
"Code exists but isn't connected" — AI creates the class but forgets to register it. Dead pipelines, phantom services, hardcoded defaults.
Learn more → #2Silent Failures
"100% of the time ignores failing tests" — Claims success when tests fail. Modifies tests to pass instead of fixing code.
Learn more → #3Context Loss
"Dumber after compaction" — Every session starts from zero. Forgets architectural decisions across compactions.
Learn more → #4Guardrail Bypass
"I understood the rules but chose other behavior" — CLAUDE.md gets ignored after 2–5 prompts.
Learn more → #5Quality Regression
"Cyclical bug-fixing loops" — Fix one thing, break another. The death spiral without behavioral verification.
Learn more → #6Incomplete Implementations
"First attempt will be 95% garbage" — Skips tests, wiring, edge cases. Structurally present, functionally absent.
Learn more → #7Scope Creep
"Asked for one line, got 47 changed files" — 'Helpful' refactoring that breaks working code.
Learn more →Which problems hurt you most?
Explore the evidence from our own codebase — where behavioral verification found 3 completely silent data pipelines that passed every test.
See the Research