Mark Campbell

social media fast the month of June, be back soon. artist, designer, developer, and creator of cool stuff.
currently working on

[Mark Campbell @artsmc]

@sohei1L I remember when https://t.co/UYc534uWcg was pitching this. I was convinced after the canvas periodic table. They were before their time!

[Mark Campbell @artsmc]

@wbetiago It's easier if you don't build from zero. Starting from from primitives to then build the agent would probably be better

[Mark Campbell @artsmc]

Streamline your workflow: Turn meeting transcripts from tools like Grain into actionable tasks in Asana. This tech turns conversations into organized to-dos, saving you time and boosting productivity. #Productivity #WorkflowAutomation #TechTools

[Mark Campbell @artsmc]

AI coding agents are changing how we build, moving from complex IDEs to conversational commands for planning, execution, and PR readiness. It's a fundamental shift in developer workflow. #AIDev #FutureOfCode

[Mark Campbell @artsmc]

Discover how orchestration layers like 'start phase' and 'planning mode' restructure agent plans for parallel execution and team collaboration, transforming plain text into efficient multi-agent strategies. #AgentOrchestration #AI #MultiAgentSystems

[Mark Campbell @artsmc]

@Taytus 👀

[Mark Campbell @artsmc]

Autonomous agents are improving, but consistency is a major hurdle. Grounding agents with specific code instances, like Clawed Code, ensures consistent, high-quality outputs by providing structure and control. #AI #Tech

[Mark Campbell @artsmc]

Automate your development workflow! This tool runs features end-to-end, from planning to code execution, delivering finished features and ready PRs. Explore the Claude code dev agents on GitHub. #DevTools #AI

[Mark Campbell @artsmc]

Sandboxes are powerful for quick code execution, especially with Wasm for tasks like Qwik JS. They shine with agents needing TypeScript/JavaScript environments, offering efficiency for less resource-intensive jobs within memory and thread limits. #DevOps #WebAssembly

[Mark Campbell @artsmc]

Discovering agentic structure improvements by analyzing the Minions article. The goal is to find gaps in orchestration, tooling, and context to build a more efficient system. #AgenticAI #AI

[Mark Campbell @artsmc]

Developers are spending less time in their IDEs, focusing more on the terminal. The key is matching AI agents with the right resources, whether it's a VM or a less intensive setup, to run more iterations and ensure consistent, high-quality outputs. #DevTools #AI #Coding

[Mark Campbell @artsmc]

Bragging about AI agents running all night misses the point. True efficiency isn't about long run times; it's about optimizing tasks to take minutes, not hours. Maximize your time by making AI work smarter, not just longer. #AI #Efficiency #Productivity

[Mark Campbell @artsmc]

Grounding LLMs requires infrastructure. Analyze your current usage patterns to understand how you can leverage tools more effectively. Why not run your own analysis? #AI #LLM #Tech

[Mark Campbell @artsmc]

Building an application from scratch is now possible with AI agents that plan, execute, and adapt. This system understands your thought process, handling complex tasks and delivering a finished product efficiently, all from initial conversation. #AICoding #DevTools #Automation

[Mark Campbell @artsmc]

AI can execute code like never before, but it struggles to stay on the right track. How do we make AI go super fast AND stay grounded in the right direction? #AI #Innovation #FutureTech

[Mark Campbell @artsmc]

Going super fast in vehicles is tricky. Early attempts would lift off, making control impossible. The goal now is to engineer systems that are fast AND stable, teaching them to think and operate with grounded precision, not just execute commands. #Engineering #Innovation #AI

[Mark Campbell @artsmc]

AI can write code faster than ever, but it can't determine if it's heading in the right direction. It excels at the 'how' but struggles with the 'why.' What are your thoughts on AI's direction-setting capabilities? #AI #Coding #FutureOfTech

[Mark Campbell @artsmc]

The future of coding isn't about writing every line. It's about being at the boundaries: either starting a project or finalizing it. Humans are becoming critical at the edges, not in the middle. #FutureOfCode #AI

[Mark Campbell @artsmc]

Once impossible, now anything you imagine can be built. If you can think it, you can create it. Don't let past limitations define your future possibilities. #Innovation #DIY #Creativity

[Dustin @r0ck3t23]

Uber CEO Dara Khosrowshahi just described the exact moment companies stop hiring engineers.

It’s closer than anyone wants to admit.

Khosrowshahi: “About 90% of our coders are using AI.”

But that’s not the number that matters.

30% of those engineers have become power users. And what’s happening to their output has no historical precedent.

Khosrowshahi: “They are showing a clear differentiation in the number of diffs.”

A diff is a code release. The purest measure of engineering productivity.

Khosrowshahi: “It’s changing their productivity in a way that I’ve never, ever seen before.”

Right now, the math still favors hiring.

If an average engineer becomes 25% more efficient, Uber hires more engineers to go faster.

But that equation has an expiration date.

Khosrowshahi: “Maybe 5 years from now as the engineers get more and more productive, I may not decide to add engineering headcount.”

The tipping point isn’t when AI replaces engineers.

It’s when adding an AI agent and buying GPUs produces more output per dollar than hiring a human.

Khosrowshahi: “At that point instead of adding an engineer, I should add agents and buy some more GPUs from Nvidia.”

When the CEO of a company built entirely on software says that out loud, it’s not a prediction. It’s a planning assumption.

Khosrowshahi: “The job of a coder is going to change from actually writing the code to orchestrating agents who are writing the code.”

Not writing. Orchestrating.

The engineer becomes the conductor. The AI becomes the orchestra.

The most valuable asset in a tech company is officially shifting from human capital to pure compute.

And once that math flips, it doesn’t flip back.