Bringing the JavaScript community together through free resources, events, and trainings! | Visit @ThisDotLabs for JavaScript consulting & help | hi@thisdot.co

Joined August 2016
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This Dot Labs has two sides. One is our Tech Consultancy side, where we have our highly technical teams working with clients, ensuring they never miss a deadline again! The other side is our media side, where we have podcasts, a YouTube channel filled with workshops, and more!
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$300 value for just $50! 💰 Join @ElliottFouts and @ThisDotLabs on July 15 for a hands-on session focused on the challenges teams run into once AI moves beyond simple code generation. We'll cover workflow design, context management, validation, review processes, and the operational practices that help teams get consistent results from AI-assisted development. 🛜 Virtual | July 15 | 11AM–5PM ET 🎟 Use code THISDOTLI for $50 tickets
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Teams are increasingly moving toward cloud-based agents, event-driven automations, and custom #AI harnesses that can wrap tools like #Codex with organization-specific workflows, validation systems, and proprietary tooling.
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If your team is experimenting with @claudeai Code, @Copilot, @Gemini, @cursor_ai, or other #AI tooling, the next challenge isn't generating code. It's building a development process around it. On July 15, @ElliottFouts will lead a hands-on workshop covering workflow design, context management, validation, and the operational side of AI-assisted engineering. 🛜 Virtual | 11AM–5PM ET 🎟 Use code THISDOTX for $50 off
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Tomorrow, engineering leaders from @Grubhub, @ProVigilCorp, @StaxPayments, @RevPharma, and This Dot Labs will gather in Chamblee, GA to discuss what #AI adoption actually looks like inside engineering organizations today. We'll be covering AI-assisted development, developer productivity, organizational adoption, and lessons learned from putting AI into practice. CTOs, CIOs, and VPs of Engineering can request a last minute invite at tracy@thisdot.co.
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The #AI tooling market is starting to feel a lot like the IDE market did years ago. Developers once debated #Atom, #Sublime, and Notepad . Eventually, the ecosystem matured enough that teams could choose the workflow that worked best for them. AI coding tools may be heading in the same direction. As harnesses become more capable, the conversation is shifting beyond models and toward how developers want to work. More in this episode of The Context Windowđź”—đź”˝
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The #AI tooling market is starting to feel a lot like the IDE market did years ago. Developers once debated #Atom, #Sublime, and Notepad . Eventually, the ecosystem matured enough that teams could choose the workflow that worked best for them. AI coding tools may be heading in the same direction. As harnesses become more capable, the conversation is shifting beyond models and toward how developers want to work. More in this episode of The Context Windowđź”—đź”˝
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After more than a year of using #ClaudeCode, @BrandonMathis started looking elsewhere. What made him switch? In this demo, @BrandonMathis breaks down why #Pi (pi.dev/) became his preferred coding agent, what Claude Code gets right, where it falls short for his workflow, and why the future of AI-assisted development may be defined by the harness more than the model. Watch the full breakdown linked below
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AI adoption gets a lot of attention. Successfully scaling it across an organization is the harder challenge. @JonFontanez will be joining the #AI Leadership Exchange on June 12 in Chamblee, GA. As AI Engineering Lead at This Dot Labs, Jonathan helps organizations move beyond experimentation by building the workflows, processes, and technical foundations needed to make AI effective at scale. CTOs, CIOs, and VPs of Engineering can request an invite at tracy@thisdot.co.
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Tomorrow at Modern Web ATL, we're bringing together the Atlanta developer community for a night focused on AI engineering, developer tooling, and building better software. @BrandonMathis will share why Pi has become his go-to coding agent and how he's customizing it with GPT-5.5. Kiah Tolliver from @LocalStack will cover chaos engineering and resilience through failure testing. @JonFontanez and @RobOcell will host a discussion on AI-assisted development, engineering workflows, and what's next for software teams. A little Christmas in June, a lot of technical conversations. 🎄💻 Join us tomorrow in Alpharetta:
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The hardest part of scaling AI agents isn’t generating code. It’s building the systems that keep AI-generated work maintainable, reviewable, and aligned with engineering standards. The teams getting the most leverage out of agentic development are investing heavily in validation, ownership boundaries, CI pipelines, and scalable review workflows.
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AI-assisted development is introducing new challenges around reliability, security, validation, and long-term maintainability. As teams adopt Markdown-based skills, MCP-connected systems, and agentic workflows, harnesses, governance layers, and orchestration are becoming critical for keeping systems predictable, auditable, and secure at scale. The conversation is shifting from what AI can build to how teams safely operate AI-powered development environments.
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How do you actually measure whether an #AI agent did a good job? Not only whether the code compiles, but whether it follows the right framework patterns, uses modern syntax, and behaves the way your engineering organization expects over time. This example around @angular control flow gets into how teams are starting to combine deterministic checks with LLM-based grading systems to evaluate AI-generated code more systematically as these workflows mature. More with @mgechev:
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