Posts Tagged "Agentic AI"
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The Refactor That Passes Every Test
Refactoring feels safe to delegate to an AI because behavior is not supposed to change. A shop-inventory example shows why that is backwards: two AI cleanups both reported every test passing, and that still did not mean nothing changed.
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AI Code Security Scanning: From Alerts to Evidence
Model-based code security scanning replaces pattern-only alerts with a pipeline: threat modeling, adversarial verification, chain analysis, patch generation, and fix validation.
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AI Roundtable: Why I Built a Deliberation Tool Instead of Another Chatbot
Why a confident, single AI answer can hide real engineering risks, and how forcing models to argue with each other surfaces what the initial answer leaves out.
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From Frustration to Workflow: AI-Assisted Development for Real Applications
A practitioner's account of building a production application with AI. It covers the false starts, the workflow that actually works, and the real bugs that AI code review caught before users ever saw them.
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Securely Integrating LLMs with Proprietary Data Using MCP
A hands-on walkthrough of how Model Context Protocol (MCP) enables AI agents to securely access proprietary real-time data and documents, with architecture, demo setup, and working code.
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