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All digests tagged Technical Debt
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Agentic coding is moving fast, creating massive efficiency but also unprecedented security risks. Experts discuss securing the 'software factory' and the need for new controls like identity and intent analysis.
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Gabriel Martinez argues that AI accelerates 'slop'—work lacking judgment. He stresses that generation is cheap, but evaluation is expensive, advocating for diagrams and conventions over massive PRs.
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Learn how AI is accelerating the modernization of mission-critical legacy systems, translating old code (Cobol, Mainframe) into modern, scalable architectures.
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Ungoverned skills are a form of technical debt. To scale AI-native organizations, know-how must be managed via a centralized skills catalog that enforces versioning, ownership, and composability.
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Fine-tuning LLMs can create a 'calcification tax,' leading to architectural lock-in. Migrating to an agentic framework using skills and context reduced fix deployment time from weeks to under an hour.
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Refactoring a complex, multi-repo codebase into a monorepo was deemed worthwhile despite AI progress. Benchmarks show modern LLMs drastically reducing refactor time, but manual validation remains crucial.
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Software engineering is shifting from deterministic instructions to defining goals for AI agents. Agentic Engineering emphasizes human oversight in managing probabilistic workflows, making the developer an orchestrator rather than a manual coder.
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