Agentic AI–Driven SDLC Integration
This whitepaper unpacks the shift from autocomplete tools to AI agents integrated across the SDLC. Learn how engineering leaders are navigating adoption, mitigating risk, and redefining velocity without compromising control.
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Surge in AI‑Generated Copy‑Paste Code
AI has supercharged software delivery, but it’s also supercharged duplication. This whitepaper unpacks the 4× rise in cloned code, why it threatens maintainability, and how engineering leaders can fight back with visibility, refactoring, and governance.
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COBOL in the Age of AI
As COBOL talent disappears, legacy systems become risk zones. This whitepaper shows how Codespell’s AI capabilities help teams document, test, and modernize COBOL-based systems, without full rewrites or deep legacy expertise.
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Rethinking AI Productivity in Software Development
As AI coding assistants become commonplace, many teams feel faster, but face delays in reviews, integration, and quality. This whitepaper examines where that speed breaks down, why it happens, and what engineering leaders can do to turn AI-driven output into reliable, maintainable software at scale.
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From Lean to Launch
This whitepaper explores how poor code quality impacts enterprise outcomes and how Codespell’s AI-driven SDLC framework enables organizations to reduce risk, improve code quality, and accelerate delivery.
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How Gen AI Disrupts the SDLC
Generative AI is set to disrupt the software development landscape, ushering in a new era of rapid and efficient software development. As the technology matures, developers must embrace these advancements to fully realize the potential of Gen AI in the SDLC
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