Here's @adharmaha building a full-stack Video Compressor in minutes entirely on Ardor.

One prompt -> working production app.

Go check out the video here: https://www.youtube.com/watch?v=_UadQ0FLmUM

🔥 Big update from Ardor

We’ve upgraded our entire model stack:

• Gemini 3 Pro — now the default
• Claude Opus 4.5
• Claude Sonnet 4.5
• Grok 4.1
• GPT-5.1

Go build! Go! Go! Go! 🙌

Fridays hit different when #agents do the work.

New article out: Agentic Systems — What They Are and What’s Inside

A builder-first breakdown of AI agents, autonomy levels, tool design, and real-world tradeoffs.

Less hype. More scars.

https://ardor.cloud/blog/agentic-systems

Keep building, nonetheless.

Shit escalated quickly 😂

Everyone’s talking agents.

Almost no one is talking Skills.

That’s the next shift. And this article explains why it matters, what it unlocks, and where agent architectures are headed next.

Worth reading now. This won’t stay niche for long.

👉 https://ardor.cloud/blog/skills-architecture-shippable-ai-agents

Here’s a no-BS look at the 5 trends that will matter this year. From agentic AI going real in production to companies finally demanding ROI, this sets up what’s next for dev teams and builders alike.

https://ardor.cloud/blog/ai-trends-2026

📢 NEW ARTICLE

Building Production-Grade AI Agents: Why 95% Never Make It Past the Demo

Everyone’s talking about agentic AI. But only few teams ship it in production. Mostly due to lack of production engineering: orchestration, state, observability, failure handling, and more.

Read the full breakdown here:

👉 https://ardor.cloud/blog/production-grade-ai-agents

Let’s build agents that actually work.

Vibe coding was like a weekend hack: quick, fun, and often messy. But real engineering actually works in the real world. This piece breaks down how to bring discipline to AI workflows so you ship software people can rely on.

https://ardor.cloud/blog/vibe-engineering

Feels like we’re hitting the next phase of AI.

Less wow factor.

More “can I trust this in production?”

Wrote this on why trust is becoming the real gate for AI adoption and why a lot of tools aren’t ready for that shift yet.

Sharing here in case it’s useful:

https://ardor.cloud/blog/ai-trust-reckoning

A lot of enterprise AI ROI talk misses the point.

The tech works.
People already use it.
The gap shows up when pilots hit enterprise process.

We unpacked where things actually break: https://ardor.cloud/blog/enterprise-ai-roi-gap

Hey all 👋

If you’re into building AI systems that actually work past the demo, you *need* to read this.

Big context windows are cool, but they don’t solve the real issue. The real juice is in structured state that lasts across the dev lifecycle.

This article breaks down why context ≠ memory and how to think about context as state infrastructure for agentic AI.

Worth the read 🧠

🔗 https://ardor.cloud/blog/beyond-the-context-window-agentic-sdlc

A lot of people are saying “enterprise AI is failing.”

We don’t think that’s accurate.

What’s actually happening is misinterpretation — of what AI is, how it should be deployed, and what success looks like inside real orgs.

If your AI projects stall after pilots, this article explains why — and what’s usually missing.

Worth a read 👇

https://ardor.cloud/blog/enterprise-ai-failure-misinterpretation

AI that doesn’t understand your repository doesn’t understand your product.

Repository Intelligence explains why repo context, structure, and history matter more than bigger models.

https://ardor.cloud/blog/repository-intelligence

AI agents don’t fail when models hit limits.

They fail when trust breaks.

Control, boundaries, and auditability matter more than raw capability.

https://ardor.cloud/blog/ai-agent-security-trust-before-capability

AI keeps getting smarter.

Research workflows still break.

That’s because intelligence stopped being the bottleneck — execution didn’t.

Documents, orchestration, compute, and systems design are where things actually fail.

Full article here:

https://ardor.cloud/blog/real-bottleneck-ai-research-execution

My duuuuudes! Check this out 🔥

Claude Opus 4.6 is now available inside Ardor.

What you’ll notice immediately:
• Stronger reasoning across large codebases
• Better planning + execution for agents
• Fewer hallucinations, more usable output

No changes to your flow.
Just a more capable model under the hood.

Live now 🚀

AI models keep improving.

But serious research workflows still break.

In this conversation with Dr. Mikhail, we explore:

• LLM systems in real research
• PDF and document bottlenecks
• Compute efficiency
• Agentic workflows
• Execution vs intelligence

https://youtu.be/UMooh7mgbqg?si=TYNV9QHA1zF2ceg8