AI incident classification: AI applied to security and incident management
AI is revolutionizing security incident classification and management: learn how to implement it in your SOC or DevSecOps.
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AI incident classification: AI applied to security and incident management
AI is revolutionizing incident classification and security incident management: discover how to implement it in your SOC or DevSecOps.
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RAG by code: how to reduce hallucinations and reuse snippets
The RAG for code is the new frontier of AI development: it reduces hallucinations and improves the reuse of snippets, enhancing quality and productivity.
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AI for developers: Copilot, Cursor, Ghostwriter compared
Discover which AI tool for developers is best suited for your team: Copilot, Cursor, or Ghostwriter. Comparison of features, limitations, and best practices.
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AI for technical documentation: automatically generate README and changelog
Discover how AI can automate README and changelog: tools, Python scripts, and Git hooks to enhance software governance.
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Sviluppo-AI: how artificial intelligence is changing software development
Discover what AI development is, how it works, and which tools are transforming the way software is designed and maintained.
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How to structure a project to make the most of AI development tools (Cursor, Copilot, etc.)
Best practices for 'AI development': repo structure, documentation, testing, prompts, CI/CD, and governance to ensure Cursor/Copilot work effectively and reduce errors and friction.
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HR 4.0 #1 – From CV to intelligent onboarding with AI and Microsoft 365
Discover how AI can analyze resumes and create automatic profiles in SharePoint, transforming HR selection and onboarding into a fast, standardized, and secure process.
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HR 4.0 #1 – From CV to Intelligent Onboarding with AI and Microsoft 365
In this first chapter of the *HR 4.0* series, we will see how **AI development** and **Microsoft 365** can be integrated to transform candidate management and onboarding, making the process fast, standardized, and scalable.
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From Snippets to Agents: The Evolution of AI in Software Development (2023–2026)
From prompt-to-snippet to multi-level agents: how AI is transforming software development through Copilot, open source models, and intelligent pipelines.
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From Prototype to Product: Guidelines for Scaling an AI Project into Production
Many AI projects stop at the prototype stage. Discover how to bring them into production with governance, MLOps tools, and sustainable scaling strategies.
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Agentic AI and RAG: how to build applications that learn and reason
From theory to practice: discover how to use Retrieval Augmented Generation and AI agents to develop truly intelligent, reliable, and scalable applications.
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Software development assisted by AI: what really changes in the work of developers
AI is transforming the way we write and manage software. Here’s how it changes the lives of developers, what the concrete benefits are, and the limitations to be aware of.
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AI-Assisted Software Development: What Really Changes in the Work of Developers
AI is transforming the way we write and manage software. Here’s how it changes the lives of developers, what the concrete benefits are, and the limitations to be aware of.