This Dot Labs

AI is changing how teams work together just as much as it’s changing the tools themselves. We had a great conversation with @coreyching from @OpenAI about #Codex, automations, context engineering, remote workflows, and the growing importance of collaboration as teams adopt #AI more deeply into their day-to-day work. A lot of thoughtful discussion in this one around where developer workflows are heading and how people are adapting in real time. Check it out: youtube.com/watch?v=nnG5J_…

🚨 We’re hiring at @ThisDotLabs We’re growing the team across several senior engineering roles, including Engineering Leads, Architects, and Senior Engineers. What we’re looking for: • Strong frontend engineering background • 7+ years building production systems • Experience integrating AI into real engineering workflows • Systems thinking and technical ownership • Comfortable operating across teams and ambiguity These are fully remote roles with US time zone overlap required. If you’re interested in helping shape how modern engineering teams build with #AI, reach out at jobs@thisdot.co Learn more about us: ai.thisdot.co

AI tooling is moving far beyond autocomplete and code generation. Modern #AI workflows are increasingly centered around automations, plugins, remote tasks, context management, computer use, and connected systems that can coordinate work across multiple tools and environments. Some of the most interesting use cases are emerging around creative and operational workflows, including automating repetitive tasks inside tools like @AdobPremierePro, managing cross-platform workflows, summarizing information, and helping teams stay in flow across different kinds of work. Watch the full livestream with @coreyching: youtube.com/watch?v=nnG5J_…

Enterprise #AI adoption is pushing companies to rethink how innovation gets funded and operationalized. The teams seeing real progress are treating AI as long-term operational transformation, not just a tooling upgrade. In this Leadership Exchange episode with Dorren Schmitt, we discuss what that shift actually looks like in practice. More in the full interview: youtube.com/watch?v=5UXW7s…

Bottlenecks shift as soon as one part of the process speeds up. Teams fix one constraint and another one shows up somewhere else. That’s why just making engineering faster doesn’t solve the whole problem. The teams making progress are adjusting continuously. Pulling work earlier, reducing handoffs, and getting feedback sooner so things don’t sit and stall. We got into how this is playing out across teams in the full State of #AI livestream: youtube.com/watch?v=PXA3Sw…

We’re excited to have @edsancha joining the panel to share perspectives from leading engineering teams across consumer applications, backend systems, UX, and scalable platform architecture at Grubhub. If you're a CTO, CIO, VP of Engineering, or senior technology leader in the Atlanta area, join @ThisDotLabs for the next #AI Leadership Exchange on June 12 in Chamblee, GA. The discussion will focus on what it actually takes to move AI adoption beyond experimentation and into reliable engineering workflows organizations can scale. Request an invite with @ladyleet at tracy@thisdot.co Learn more: thisdot.co/technology/ai-…

🚨 FRIDAY CXO Connect is designed for executive and senior technology leaders who want a more candid conversation around what #AI implementation actually looks like inside organizations right now. The discussion focuses on operational realities: workflow changes, governance, adoption challenges, organizational alignment, security concerns, and how leadership teams are evaluating long-term AI strategy beyond early experimentation. Our next virtual roundtable is May 22 from 11:00 AM to 12:30 PM ET. If you’re a CTO, CIO, VP of Engineering, or senior technology leader interested in joining, DM @ladyleet to request an invite. Learn more: thisdot.co/technology/cxo…

A full day focused on one thing: making AI-assisted engineering workflows actually hold up in production environments. On June 3rd, @ThisDotLabs and @ElliottFouts are running a live online workshop covering: • Structuring specs and context for better outputs • AI-assisted code review workflows • Earlier validation and testing patterns • Documentation generation tied to real work • Multi-agent workflows and orchestration • Practical approaches teams are using today This is designed for engineering teams moving beyond experimentation and trying to operationalize AI across delivery workflows. 🎟 $50 tickets with code THISDOTX ai.thisdot.co/workshops

Enterprise #AI adoption is pushing companies to rethink how innovation gets funded and operationalized. The teams seeing real progress are treating AI as long-term operational transformation, not just a tooling upgrade. In this Leadership Exchange episode with Dorren Schmitt, we discuss what that shift actually looks like in practice: youtube.com/watch?v=5UXW7s…

Thank you to Mike Ryan from @copilotkit, @dkundel from @OpenAI, + @ElliottFouts from @ThisDotLabs for joining me yesterday for the State of #AI- Agentic UI where we discussed how AI is reshaping the way organizations build, deploy, and scale intelligent systems. Tons of great moments! Let me know what you think! youtube.com/live/PXA3Sw-Mb…

#AI adoption gets messy fast when every engineer is building their own workflow. You end up with inconsistent outputs, unclear review processes, and no real way to measure what’s actually improving delivery. At @ThisDotLabs, we help engineering organizations turn scattered experimentation into repeatable workflows teams can actually operate around. If your team is trying to make AI usage more consistent across the organization, I’d love to connect. ai.thisdot.co

State of #AI with experts from @OpenAI, @CopilotKit, & @ThisDotLabs is now live: youtube.com/watch?v=PXA3Sw…

A few engineers on your team are probably doing remarkable things with #AI right now. The problem is it stops there. It lives in their terminals, their workflows, their heads, and the rest of the organization is watching from a distance wondering why the broader impact hasn't materialized. That gap between what's possible and what's actually happening at scale is exactly where @ThisDotLabs works. We help engineering organizations build the systems, workflows, and operational structure that take AI from something a few people do well to something the entire team depends on. Planning, implementation, testing, documentation, delivery. The whole surface area of how software gets built. That's the only way the results start to compound. ai.thisdot.co

Six hours. One day. A completely different relationship with how your engineering team uses #AI. June 3: @ThisDotLabs is hosting a live online workshop led by @ElliottFouts covering the hands-on mechanics of AI-assisted development. Prompt engineering, code reviews, test generation, documentation, multi-agent automation, all of it grounded in real workflows your team can actually use. Tickets are $50 with code THISDOTX at checkout. Grab a spot at ai.thisdot.co/workshops

🚨 WE ARE #HIRING @ThisDotLabs is hiring Engineering Leads, Architects, and Senior Engineers with strong frontend expertise and 7+ years of experience. We're looking for people who have moved well past treating AI as an experiment and are already integrating it thoughtfully into how they design and deliver software. Ownership, systems level thinking, and the ability to work effectively across teams are just as important as the technical profile. Fully remote with US time zone availability required. Reach out at jobs@thisdot.co

Bottlenecks shift as soon as one part of the process speeds up. Teams fix one constraint and another one shows up somewhere else. That’s why just making engineering faster doesn’t solve the whole problem. The teams making progress are adjusting continuously. Pulling work earlier, reducing handoffs, and getting feedback sooner so things don’t sit and stall. Want to attend our next State of AI event LIVE? RSVP to join us on May 18th: ai.thisdot.co/workshops

Guardrails tend to get framed as something that slows teams down. That’s not really what they’re doing. Trude Van Horn breaks down how guardrails, auditing, and human-in-the-loop systems are actually there to give leadership the confidence to move. When the people funding and approving the work understand what’s in place, they’re far more likely to lean in instead of hold back. That dynamic shows up across the entire conversation with @ladyleet. Adoption isn’t just a tooling problem, it’s a trust problem. And how you bring leadership along often determines how fast anything gets into production. Check it out: youtube.com/watch?v=O3WVCG…

Spent time with the team at the @RenderATL x @ThisDotLabs workshop and really liked where the conversation went. A lot of honest discussion around what teams are actually trying right now, what’s sticking, and what’s still falling apart once you move past the hype. @ElliottFouts drove a really practical session that kept things grounded in what’s working today. If you’re not in these rooms yet, you’re probably underestimating how fast this is moving. We’ve got another one planned. Follow me for details coming soon!

A big theme throughout this conversation with @CoreyChing from @OpenAI was how quickly #AI tooling is becoming more connected, extensible, and workflow-oriented. We talked through the expanding Codex plugin ecosystem, integrations with tools like @GitHub, @Google Drive, @SharePoint, and @Outlook, and how developers can now build and distribute their own plugins to extend workflows across systems. The full livestream also gets into automations, cloud tasks, remote workflows, #MCPs, context engineering, video editing workflows, and the broader shift toward orchestration-driven AI systems. Don't miss this livestream presented by @ThisDotLabs: youtube.com/watch?v=nnG5J_…