From Figma MCP to Production UI: A Design-to-Code Operating Model
A practical framework for turning MCP-powered design layer generation into reliable frontend delivery.
Latest Stories
Figma MCP Layer Generation in VS Code: How to Ship Faster Without Losing UI Governance
A practical operating model for teams adopting Figma MCP server layer generation in production frontend workflows.
Hardware-Aware LLM Selection: Turning Model Choice Into an SRE Discipline
Why teams need reproducible model-to-hardware routing policies as local inference and heterogeneous fleets expand.
IP Overlap Is the New Normal: Return Routing Patterns for Modern SASE
How to design resilient SASE client routing when enterprises collide on private address space and split-tunnel assumptions break.
An OSS Maintainer Playbook for AI-Generated Pull Requests
How maintainers can accept useful AI-assisted contributions while protecting project quality, trust, and reviewer capacity.
Prompt Injection Red Teaming for Coding Agents: A Practical Playbook
How engineering teams can test whether coding assistants leak secrets, follow poisoned instructions, or break trust boundaries.
Secure Coding Agent Rollout: Prompt-Injection Controls That Actually Work
A deployment blueprint for protecting secrets, repositories, and review workflows when adopting coding agents at scale.
Sovereign AI Procurement in 2026: Building an Evaluation Stack Before Rollout
A practical framework for governments and regulated enterprises evaluating domestic AI models for broad internal deployment.
Prompt Injection and Secret Exposure in Coding Agents: A Practical Defense Playbook
Recent community experiments underscore an urgent reality: agentic coding workflows need explicit secret and context boundaries.
Agentic Devtools Hit the Mainstream in 2026
IDE workflows are rapidly shifting from autocomplete to autonomous task execution and design-to-code collaboration.
AI Defense Contracting Is Forcing Governance Out of Policy Decks
Recent leadership turbulence around military AI deals highlights why product, legal, and engineering governance must become an operating system, not a PDF.
Always-On AI Is Becoming a Network Engineering Problem
As AI inference shifts from periodic workloads to continuous traffic, organizations need new capacity models spanning edge, backbone, and application layers.
From Endpoint to Prompt: Why Unified Data Security Is Becoming the New SASE Baseline
Cloudflare One’s latest direction reflects a broader market move: data security must extend into AI prompt surfaces.
Multi-Model Copilot Workflows Need PR-Grade Governance
With model selection and agent session controls expanding in GitHub workflows, engineering teams must treat AI usage in pull requests as a governed production process.
GitHub Copilot GPT-5.4 and the Rise of Agent Governance in IDEs
Why the latest Copilot model upgrades and session controls matter for enterprise coding workflows.
Figma MCP, Ticket-Driven AI Dev, and the New Design-to-Code Operating Model
Signals from GitHub Changelog and community practices suggest a major process redesign in product engineering teams.
OSS Maintainers Need a Verification Budget for AI-Era Contributions
As AI-generated pull requests increase, open-source projects must formalize triage, validation, and contributor expectations to avoid burnout and quality decay.
QUIC, PMTUD, and SASE Reliability: The Networking Details Teams Can No Longer Ignore
Cloudflare’s Dynamic Path MTU Discovery update highlights a wider reality: AI-era remote work depends on transport-layer resilience.
Sovereign On-Prem LLM Programs Are Entering the Production Phase
Enterprise announcements around Qwen-class on-prem models show a shift from experimentation to governed, costed, and auditable internal AI platforms.