Self-hostable large language models workspace for prompt engineering
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Security tooling has a new and growing driver: a Stanford randomised trial found developers using AI assistance wrote less secure code while feeling more confident about it. Volume of code went up; the review capacity did not.
That gap is the demand signal. Tools that make generated code verifiable — rather than tools that merely produce another report nobody reads — are the ones with a market in 2026.
30 analysed projects in this collection.
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