Slack Code: AI turns coding into a group project
This morning’s AI chatter landed with a bang: Slack Code lets teams co-create software inside shared channels, with AI agents doing the coding while humans steer and review. It sounds barking fly, but there’s real design thinking in here about how we collaborate as a team. Slack channels become living coding rooms, live previews appear as you go, and changes are gated by human approval. The finished work gets archived as a searchable record—great for audits and future reference.
In practice, each “code channel” brings agents and teammates together, so anyone can influence the build and watch it unfold. Slack ships with broad access from launch and can connect agents like ChatGPT, Claude, Devin, Vercel, and GitHub to the conversation after a quick setup. It signals a shift in how UX and product teams collaborate—more iterative, more visible, and with built-in traceability. Slack Code: a group-project approach to coding.
For UX designers, that means rethinking collaboration spaces, version control, and in-channel feedback loops. It’s not just about a prettier UI; it’s about designing the flows that encourage shared ownership of a build, while keeping governance and clarity front and centre.
How to stand out to an AI-first startup
Rowan from The Rundown shared practical tweaks to get noticed by AI-first startups. The gist: show, don’t just tell, how you work with AI; move fast and prove impact; and demonstrate “AI intuition”—the sense of where AI adds value versus where humans shoulder the heavy lifting.
Two quick examples: share your screen early in calls to display your AI workflow in action, and send a short Loom, redesign, or deck showing the problem you’d tackle before you even meet. And the big is-you-need-taste bit: be crystal about the value you bring that AI can’t replace and how you’d hand off the rest. For a deeper dive into AI intuition, check the linked Forbes piece. The Rundown also highlights that they’re expanding their team, so keep an eye on their jobs posts. AI intuition and the 2026 landscape.
If you’re designing for AI-first clients, these signals help you craft a credible, action-oriented narrative rather than a vague promise. Start practising your “AI-first” story in real-world outputs.
AI governance at the design table: the AI Command Center
Collibra’s AI Command Center frames governance as a real-time control plane for every AI asset in an organisation. It’s not just tech; it’s a policy and risk tool that connects assets, ownership, and data dependencies with trust metrics and traceability.
The core ideas: one unified registry for all AI assets, an AI Trust Score for systems, plus live dashboards and automated traceability. It’s the kind of governance layer that helps teams stay responsible as they ship AI-powered experiences. AI Command Center: command-and-control for AI ecosystems.
For UX and product folks building AI-enabled features, this nudges you to design with governance in mind—think explainability, audit trails, and clear ownership baked into the product development process.
Turn AI know-how into client work: the high-value workflow audit
The Rundown’s AI Training section lays out a practical path to monetise AI expertise: sell a high-value AI workflow audit as a consulting offer. The steps are concrete and repeatable: ask Claude to interview you about your strengths, generate three consulting angles, have Claude build an AI assessment for a prospect, and then create a client-ready slide deck outlining findings and next steps.
Pro tip: specificity wins. Treat the workflow audit as a tight, actionable engagement rather than a vague “AI consultation.” The guide also walks you through delivering a structured brief and a practical next step, turning AI literacy into a tangible business. Sell a high-value AI workflow audit as a consultant.
If you’re a designer or product pro exploring how to package AI expertise, this is a friendly, replicable blueprint you can adapt for your clients. It’s not about selling hype; it’s about delivering clear value with AI-driven insight.