D Xtra

Principal Software Engineer | Committed to building impactful solutions and helping others succeed.

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Stop the endless cycle of vague AI responses. You know the frustration: you type a question, and get a useless answer. It's not you; it's how you're prompting.

Prompt Weaving: Mastering the Art of Effective AI Interactions isn't just another book, it's your new operating system for AI.
This isn't a dry manual, it's an engaging, story-driven guide that teaches you a repeatable method to get the results you want, every time. Stop guessing and start creating with precision.

Get your copy on Amazon today and transform the way you work with AI: https://t.co/a4iFrfYSv1

#PromptWeaving #AI #ChatGPT #Grok #AIPrompting #MachineLearning #Innovation

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The job title says “Software Engineer.”
But the actual job in 2026 is something different.
It’s not writing code. It’s deciding what gets built, directing agents that build it, and judging whether the result is right.

Here’s the tension nobody talks about enough:

Anthropic’s latest research shows engineers now use AI in roughly 60% of their work.

Yet they can “fully delegate” only 0–20% of tasks.

That gap isn’t a failure of the tools. It’s the point.

The work that AI can’t fully own: the architectural tradeoffs, the product instincts, the organizational context, the judgment call about whether the system actually solves the right problem ... that’s what engineering is becoming.

The engineers who thrive aren’t the ones who write the most code anymore.
They’re the ones who can decompose a complex problem, coordinate multiple agents working in parallel, evaluate the output critically, and know exactly when to step in.

Implementer → Orchestrator.

The business implications are significant.

Onboarding to a new codebase is collapsing to hours instead of weeks. One enterprise team completed a project their CTO had scoped at 4–8 months in two weeks.

Teams that master agent coordination are shipping features in hours. Their competitors are still on weekly cycles.

The gap between AI-first engineering orgs and the rest isn’t growing linearly.

It’s compounding.

This isn’t a story about replacing engineers.

It’s a story about which engineers and which organizations are ready to operate at the next level of abstraction.

The most valuable skill in software development right now isn’t knowing how to code.

It’s knowing what to build, why it matters, and how to tell when an agent got it wrong.

Are you seeing this shift on your team? And what does “engineering excellence” look like to you when the agent writes the first draft?

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All Things AI making a big stink in Durham!! Hope you got a ticket, come say hi!

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@unclebobmartin And who writes code when the LLM services go down?

I can hear it now:
Our local AI server just got smoked, replacement coming in a few weeks. Who can continue these features? 🤓🙄

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What makes this more engaging is that everyone needs to remember who has gone already, and who hasn’t. That simple trick encourages true engagement, not just waiting for their names to be called, and ignoring the meeting.

[Uncle Bob Martin @unclebobmartin]

They said AI was going to let companies get rid of programmers.

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It’s like 2004 all over again… every website has a pop up. No, I don’t want to subscribe, even though I’ll probably end up on your list anyway 🤷‍♂️🙄

When I see them I can’t exit the site fast enough. Stop. It.

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I love AI and all its promises, but don’t get swept away in its narrative (subscription fees).

Learn it, grasp it, harness it, but most of all, challenge it.

Grind on its limitations.

Prove to yourself that it needs you.

AI was never possible without us. Prove it every day.

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If you’ve ever built anything with AI as a professional dev, you know it works and can do great things, but you also KNOW it’s incapable of being an effective architect or solo dev. Kids talmbout I make $500k per month on my vibe coded SaaS app are 🤡. 😆😆😆

Slow down and build a flow that helps you accomplish the things AI is actually good at.

- suggestions (taken lightly, but seriously)
- fill in some algorithm blanks
- fill in config requirements
- build scaffolding / bootstrap code
- discussion and design docs
- README files (excellent)
…

Finish this list 😎👍

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@cypherpunkX Flux around and find out!

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Go hard and never lose!!

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Learn them and implement them before an audit!!

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Smart pointers in C++. Learn them immediately. #techtok #developer #cpp #softwareengineer #softwaredevelopment

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Relying heavily on AI in any codebase, let alone a legacy C++ codebase, can lead to long nights and huge frustration. Learn to become more efficient and have AI teach you what the code is doing instead. #techtok #developer #cpp #softwareengineer #ai

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Learn git and level up!

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In this new era of self-hosted AI, maybe I should stash it away 🤷‍♂️

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Don’t let your ego or fear get in the way of your progress when you transition into the workforce. You probably don’t know what you think you know, so let’s take a journey. #techtok #softwareengineer #neverlose #softwaredevelopment #ai

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Super quick and simple with the pi imager!

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Life is short, never lose