One in Four Organizations Are Leaking Secrets Through AI Agent Config Files
A Codacy scan of 34,266 repos found credentials, API keys, and system prompts exposed in AI agent config files at 25% of organizations.
Reporting from the New York Times, Joby Aviation flew its electric air taxi over Manhattan this weekend in a carefully staged demonstration designed to do one thing: make the idea feel real. The Trump administration has thrown its backing behind the sector, and Joby is using that political tailwind to accelerate public acceptance. But a demo flight is not a commercial service — and the gap between the two is where most eVTOL companies die.
The FAA certification process for a new aircraft category is historically brutal. Joby's vehicle needs to prove safety margins across thousands of flight hours, meet noise standards that helicopter operators spent decades lobbying to soften, and demonstrate the kind of reliability that commercial aviation regulators accept — which is considerably higher than what a startup demo conveys. None of that is fast.
The AI angle deserves more attention than it gets in the breathless coverage. Flight-control autonomy and sensor fusion are not marketing features on these aircraft — they are what makes the economics work. A human pilot in every two-seat air taxi destroys the business model. The path to profitability runs directly through partial or full autonomy, which means Joby is not just fighting the FAA's aircraft division. It is fighting the FAA's autonomy division too.
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A Codacy scan of 34,266 repos found credentials, API keys, and system prompts exposed in AI agent config files at 25% of organizations.
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