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. Phantom subscriptions, empty executions, counterfeit output.
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 4 completely silent data pipelines that passed every test.
See the Research