Tagged · 17 posts
Design Engineering
The overlap of design and engineering — designers who build, embedded in product teams.
The new era of designers: AI and a future full of promise
AI workflows for designers go beyond image generation—shaping every step of the business, from first idea to shipped product. Inside the new era of design.
CLAUDE.md for designers: turn Claude Code into a design partner
CLAUDE.md for product designers: a template that turns Claude Code into a design partner with your taste, your rules, and your anti-patterns.
Design systems for agentic workflows: how teams scale output
Design systems for agentic workflows help Heads of Design scale on-brand output by enabling cross-functional draft creation with portable AI-ready standards.
Spec-Driven Development for Designers in the Age of AI
Spec-driven development for designers turns AI into a reliable delivery system by aligning product, engineering, and go-to-market execution.
Figma MCP + AI: design tokens from variables to production JSON
How Figma MCP and AI keep design tokens in sync across code, internal tools, and brand assets—one JSON source of truth for every product and platform.
Figma MCP templates for scalable company collateral
Use Figma MCP to extract template content as markdown, swap copy and images, and let non-designers ship white papers, battle cards, and collateral at scale.
Designers who build: how modern teams ship faster and better
Designers who build help founders and VPs ship faster with fewer handoff gaps by connecting product, engineering, marketing, and execution in one loop.
Preparation for future self: small favors that reduce stress
Preparation for future self turns small setup habits into calmer execution—how I leave practical favors for later me across design, writing, and team work.
AI-assisted design workflows: what actually works in 2026
Which AI tools genuinely improve product design workflows, which are still hype, and the patterns that make AI a multiplier for experienced designers.
Beyond prompt engineering: AI agent infrastructure
Prompt engineering for designers goes past chatbots—shell scripts, reusable skills, and persistent memory make AI agents faster, cheaper, and smarter.
GitHub Actions and CI/CD for automated deployments
How to set up automated builds, preview deployments, and accessibility linting with GitHub Actions—demystifying CI/CD pipelines for design-technical roles.
How I embed in engineering teams as a design director
Concrete patterns for participating in sprints, reviewing PRs, pairing with engineers, and building deep trust as a design leader inside development teams.
Branching strategies for design-engineering collaboration
How to structure feature branches, coordinate design token updates in code, and manage releases cleanly between design and engineering teams at any scale.
Self-hosting as a designer: from Plex to Docker to open-source AI
From Plex to Docker to self-hosted AI — what running my own infrastructure taught me about the constraints that shape every design decision.
Git workflow scripts: designing processes that earn engineering trust
Rebase helpers, link checks, commit chunking, and branch scripts — how designing your own git workflows changes the way engineering teams see design.
Engineering concepts for everyday life: redundancy, MVPs, and kanban
How engineering frameworks—redundancy, modularity, continuous improvement, and MVPs—quietly improve how you live, with practical systems thinking beyond code.
The design engineer: code, 3D printing, and hybrid design practice
A case for hybrid design practice—how 3D printing, AI workflows, git, and dev collaboration compound into stronger design leadership and better product work.