I watched a developer waste $200 in API tokens one afternoon. Not because they were building something trivial – they were tackling important infrastructure work. Not because they were inexperienced – they had 15 years of backend development under their belt. The problem was simpler and more frustrating: they weren't
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A premium car today contains over 100 million lines of code -- more than a fighter jet, more than Facebook's entire codebase. AI coding assistants promise to help close the productivity gap. But most get rejected before they reach a single developer's machine.
There's a growing assumption that AI coding assistants are fundamentally incompatible with regulated environments. This belief usually stems from how most AI tools are architected, not from AI-assisted development itself. Security constraints in these environments are real and non-negotiable. Restricted networks, strict compliance requirements, long approval timelines, and
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Cline now offers comprehensive Jupyter Notebook support, giving data scientists the same AI-assisted experience that developers have come to expect – but designed specifically for how notebooks actually work.
Most AI coding tools require sending code through their servers. For healthcare systems protecting patient records, banks safeguarding transaction data, and defense contractors working with sensitive or classified code, that approach fails immediately. Security teams block the tool. Developers revert to manual workflows. Productivity drops, not because AI is ineffective,
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What if you could get plain-English explanations for every line of AI-generated code? Meet Cline's Explain Changes feature: your AI slop detector, code review accelerator, and sanity-preservation tool rolled into one.