Jeremy Lankford, MBA

Senior Software Engineer specializing in business integrations and full-stack development. Pursuing a PhD in IT (AI focus). Building the future of tech.

[Jeremy Lankford, MBA @jwlankford]

Endorsing someone requires looking past their public digital footprint. While data points detail what a person has done, they fail to map internal governance under pressure. True alignment demands an audit of their character blueprint: how they handle validation fatigue, manage cognitive biases, and navigate the unapplauded gaps between public success and private vulnerability.

To look past the resume, ask these deep, unsearchable questions:

What core belief did you throw out after being proven wrong?

When under intense pressure, what is the first sign your judgment is degrading?

Have you ever enforced an essential boundary that made you look like the villain?

How do you separate a calculated risk from ego masquerading as ambition?

When a competitor makes a brilliant point, how do you process it?

What is the baseline requirement for someone to permanently lose your trust?

How do you handle critical decisions when the available data is highly incomplete?

[Jeremy Lankford, MBA @jwlankford]

@4Arion @jeffbullas Imagine needing a specific voltage regulator or database schema and getting a "mystery box" instead. 😭 Machine-speed velocity means nothing if you can't guarantee deterministic outcomes. Funko Pops are great for surprises, but enterprise systems run on absolute predictability.

[Jeremy Lankford, MBA @jwlankford]

@jeffbullas The machine can automate the implementation, but it can never automate the spark of curiosity that demanded it. In a world of hyper-optimized outputs and deterministic answers, intentional wonder is our ultimate differentiator. Protect the human loop.

[Jeremy Lankford, MBA @jwlankford]

Exactly. The iceberg is a crucial reality check. Vibe coding creates an immediate velocity spike for the 'what,' but completely ignores the massive 'how' of production governance. You must engineer deterministic gates to manage that invisible operational debt. #VibeCoding #Architecture

[Jeremy Lankford, MBA @jwlankford]

@RohOnChain Loop engineering is the real architectural story of 2026. The true leverage isn't in writing code—it's in designing robust evaluation systems that direct autonomous agents. Build a bulletproof verifier, and the generator can run forever. #AgenticWorkflows #VibeCoding #DevOps

[Jeremy Lankford, MBA @jwlankford]

Shipping AI agents? Alignment isn't enough. Build robust runtime guardrails (https://t.co/PGuUWO7Zvp), run continuous red teaming, and adopt dual-LLM patterns. Ensure safety with human-in-the-loop oversight (https://t.co/OWxg7JLF5V). #AIAgents #AISecurity #LLMs

[mojesko @mojeskoqq]

2 hours. 0 lines of code. From an empty folder to a live app:

00:00 - vibe coding from zero: what you actually type by hand
19:02 - plan and document the build before you touch code
43:05 - wire a real AI API into your app
1:01:45 - hand the build to Claude Code and let it ship
1:20:23 - push the whole thing live on the web

These 2 free hours will replace 10 paid vibe-coding courses.

The model was never the moat. The setup is.

Watch today, then read the article above.

[Data Science Dojo @DataScienceDojo]

A working 𝐚𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦 is four layers stacked on top of each other, and each layer depends on the one underneath it.

💡 𝐋𝐋𝐌𝐬 are the core. This is where tokenization and inference happen, and where prompt engineering, context engineering, and fine-tuning shape what the model actually outputs. Everything above this layer is built on top of that raw generation capability.

🤖 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 give the model structure. Reasoning patterns like ReAct and Chain-of-Thought let it plan across multiple steps instead of answering in one shot, while state management and long-term memory let it track what's already happened. This is also where safe interruptibility and fail-safe design matter: an agent that can chain tools together also needs a way to stop when something goes wrong.

💻 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 is where agents stop working alone. Protocols like MCP and A2A let agents talk to each other and to external tools, and agentic RAG lets them pull from shared knowledge instead of relying only on what's in context. Coordination at this scale also introduces emergent behavior that's harder to predict from any single agent's logic.

🔨 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐈𝐧𝐟𝐫𝐚 is the layer that decides whether any of this can actually ship. Governance requirements like HIPAA or the AI Act, observability through monitoring and logging, and access control aren't optional extras. They're what separates a working demo from something a regulated industry can actually deploy.

Most tutorials stop at the bottom two layers. The top two are where agents tend to break once they leave the sandbox, because a bad decision without logging is a decision you can't debug.

If you're building agents, map your architecture against all four layers before you scale past a prototype.

#AgenticAI #AIEngineering #LLMOps #MCP #AIGovernance

[Movez @0xMovez]

Andrew Ng:

“100% of my tasks are now handled by AI agents - hype has exceeded my expectations. Next step is 'loops'.

in 3-6 months, everyone will be using self-improving loops. No more prompting.”

In just 50-minutes, Andrew Ng reveals what the future of agentic AI will look like and how to prepare for it.

Worth more than a $500 agentic course.

[Jeremy Lankford, MBA @jwlankford]

The Agentic Development Life Cycle (ADLC) is here. Multiple AI agents are writing and modifying files simultaneously at machine speed, completely breaking traditional human-centric CI/CD pipelines. Is your team ready for CA/CD? #VibeCoding #AgenticWorkflows #DevOps

[Jeremy Lankford, MBA @jwlankford]

@Anthony_K81 Hit the nail on the head. "Vibe coding" is an amazing sprint, but the tech debt catches up fast.

The biggest bottleneck? Context drift. Ensuring automated refactoring tools actually grasp the original intent behind the "vibe" so code reviews don't become a full-time job.

[Jeremy Lankford, MBA @jwlankford]

"Vibe coding" lets us prompt apps into existence in minutes, but it's creating a massive tech debt crisis at machine speed. Prompting isn't architecture. How is your team keeping enterprise systems stable without killing developer velocity? Read More: https://t.co/4LxQ6aD5Oo

[Jeremy Lankford, MBA @jwlankford]

The 90-day "vibe coding" reckoning is real. 80% of startups that prompt-engineered production apps now face expensive architectural rescues because AI tech debt is completely invisible from the outside. How are you auditing the rot? More details: https://t.co/lpCPozwjey

[Rohit @ai_rohitt]

🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch the session

[Suraj Sharma @suraj_sharma14]

Vibe coding won't build a great AI product.

Understanding engineering will.

You don't need a CS degree. You need strong fundamentals.

>> Engineering

- System Design 101 (ByteByteGo)
https://t.co/21HWayuidU

- HTTP & Networking (MDN)
https://t.co/qiBf9X6qHu

- Node.js Documentation
https://t.co/fLdk1IKgNB

- TypeScript Handbook
https://t.co/0jruq0QwNC

- React Documentation
https://t.co/IXyAIqdmCv

- OWASP Top 10
https://t.co/QN7k5yDH8X

- Docker Get Started
https://t.co/cR8LRIS7H4

- PostgreSQL Documentation
https://t.co/BhYdWDnwpe

>> AI Engineering

- OpenAI API Docs
https://t.co/nbourMR6VJ

- Anthropic Docs
https://t.co/a7jtkfYhxh

- Google AI Studio
https://t.co/f00zMn1dl9

- OpenAI Codex Docs
https://t.co/c6cxvc459a

- MCP Documentation
https://t.co/73Casc6SGj

- OpenAI Agents SDK
https://t.co/7BFyCtx5rr

- LangGraph
https://t.co/A8DpGccuZJ

- PydanticAI
https://t.co/jaGimq0LSB

>> RAG & Search

- Pinecone Learn
https://t.co/bG1HfjZaZO

- Weaviate Academy
https://t.co/KhcFV5minS

- Qdrant Documentation
https://t.co/StkW43QbY3

- Firecrawl
https://t.co/FORTIxMD3i

>> AI Evaluations

- OpenAI Evals
https://t.co/nCsib1hkG7

- DeepEval
https://t.co/dkcTVFTk6z

- Promptfoo
https://t.co/hKWzjCSYEN

- LangSmith
https://t.co/mIklZPoYaS

>> Build Projects

• AI Chatbot
• RAG Assistant
• AI Coding Agent
• Browser Automation Agent
• Voice Agent
• Research Agent
• Customer Support Agent
• Multi-Agent Workflow
• AI CRM Assistant
• AI Sales Copilot

Don't stop after tutorials. Deploy every project.

My AI Stack (2026)
• Editor → Cursor / VS Code
• Coding → Codex + Claude Code
• Models → GPT-5.6, Claude, Gemini
• Database → Supabase / PostgreSQL
• Vector DB → Pinecone / Qdrant
• Backend → FastAPI
• Auth → Clerk
• Deployment → Vercel / Railway / https://t.co/lEOsaroda0
• Storage → Cloudflare R2
• Automation → n8n
• Monitoring → Langfuse
• Evals → Promptfoo + DeepEval
• Payments → Stripe
• Analytics → PostHog

The engineers who win in 2026 won't be the ones writing the most code.

They'll be the ones who understand how modern AI systems are designed, evaluated, deployed and improved.

[XDA @xdadevelopers]

Forget Claude Code and Google Antigravity, Devin Desktop is the perfect example of vibe coding
https://t.co/7ItiFYpEXw

[Jeremy Lankford, MBA @jwlankford]

The developer's role is officially shifting from a "writer of code" to a "controller and reviewer." As vibe coding takes over routine syntax implementation, engineering value is entirely concentrated in systemic architectural oversight. 🤖💻

https://t.co/9Ve6YxLvOj

[Jeremy Lankford, MBA @jwlankford]

The rise of #vibeCoding via tools like Cursor means more code generated at machine speed. 🚀 Architectural security and 'SecDevOps' can't be an afterthought; they must be integrated in the agent loop. 🛡️ https://t.co/9whpgoUc8F

[Jeremy Lankford, MBA @jwlankford]

The software delivery bottleneck is no longer human execution—it’s how we orchestrate autonomous agent workflows. Shift from coding to governance:

https://t.co/W52GpoZzpU

[Jeremy Lankford, MBA @jwlankford]

Software dev is moving to autonomous AI agents. Securing the Agentic Development Life Cycle (ADLC) at machine speed is our next major architectural hurdle.

https://t.co/2ZxcXMLSPs