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Category: Technology

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From Design to Production: Why Handoffs Still Break (and How Top Teams Fix Them)

When design handoffs break, it’s rarely because the team is careless—it’s because intent gets lost between tools and roles. Here’s how leading teams use AI-assisted workflows to translate Figma into production-ready requirements, tighten feedback loops across Jira and GitHub, and prevent “surprises” from showing up late in the cycle.

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CI/CD Optimization: How to Shorten PR Cycle Time and Ship Faster

Most delivery delays don’t come from coding—they come from CI, reviews, and release friction. CI/CD optimization is the practical craft of shrinking feedback loops, reducing rework, and making “merge to deploy” predictable. This guide breaks down the highest-leverage fixes and shows how agentic automation like AutonomyAI helps teams iterate to green and keep PRs moving.

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AI Governance for Engineering Teams: A Practical Playbook for Safe, Fast Software Delivery

AI can now write code, generate tests, and propose PRs—but without governance, it also accelerates risk. This playbook shows how engineering leaders can implement lightweight, high-leverage controls—permissions, policy-as-code, audit trails, and verification gates—so teams ship faster with confidence.

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AutonomyAI vs GitHub Copilot X: Production-Ready Front-End Code Comparison

If you’re a VP Engineering or head of R&D, you don’t need another hype post. You need to know which AI can ship real front-end code into production without blowing up Core Web Vitals or your review queue. This walkthrough compares…

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Securing AI-generated front-end code: policies, review workflows, and compliance

AI is now writing a surprising amount of front-end code. Useful, fast, sometimes spooky. But regulated teams know speed without safety is a liability. This guide gives you a workable path to secure AI code in the browser: policies that don’t…

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Building a QA Workflow with AI Agents to Catch UI Regressions

If your team ships fast, your UI will break. Not because people are careless, but because CSS is a fragile web and browsers are opinionated. This guide shows you how to build an AI QA workflow that catches visual regressions before…

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Automated CSS and Theming with Context-Aware AI Agents

Automated CSS and theming used to feel like sci-fi. Now it feels like a Tuesday. In this tutorial, we’ll set up context-aware styling with an AI agent that respects your design tokens, ships safe CSS, and adapts to user and business…

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Measuring Developer Velocity: 7 Metrics CTOs Must Track

Developer velocity sounds romantic until you’re staring at a stalled release and a Slack channel full of red dots. This guide gives CTOs and engineering leaders a practical scorecard: seven measurable signals that show how fast and safely your org ships….

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Design-to-Production: Implementing Auto-Generated UI Components

Design-to-production has moved from a nice idea to a practical path for teams that want to ship consistent UI without burning engineering cycles. In this guide, we’ll walk through how to stand up auto-generated UI components that honor design tokens, meet…

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Why Your MCP Agent Is Meh (And What to Do About It)

By Daniel Gudes Model Context Protocols (MCPs) promised the moon: connect your LLM to real tools and let it take action, live. And yet, in practice, most early rollouts have felt… sluggish. Why? Because raw connectivity isn’t intelligence—and shoving entire API…

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