TurinTech AI

Get more from the systems you already run.
Improve performance across the models, agents, and code you already run while reducing infrastructure costs.

[TurinTech AI @turintechai]

On-device AI development isn't a novelty anymore. Data boundaries are tightening, inference bills are climbing, and not every team wants their codebase sitting in someone else's cloud.
That's why #Artemis now runs fully offline on #intelCoreUltra Series 3.

[Intel Business @IntelBusiness]

Evolve your critical software, control your code, help keep data local. With Artemis by @TurinTechAI, powered by #IntelCoreUltra Series 3, teams can optimize code locally—improving privacy, cost, and predictability. #IntelAI #IntelInside

https://t.co/1963eZW99h

[TurinTech AI @turintechai]

AI can generate code fast, but in real-world systems, humans still spend hours reviewing, fixing, and maintaining it. The real work starts after the first draft.

Read our full article to see what this means for engineering teams: https://t.co/9j65XTqrbw

[TurinTech AI @turintechai]

We’re teaming up with @googlecloud to host a Code Fixathon — think hackathon, but for cleaning up and improving existing code. Using #Artemi+#Gemini, we'll plan, upgrade, and validate an open-source legacy codebase.
Save your spot 👉 https://t.co/niOoo4kP40

[TurinTech AI @turintechai]

@StackOverflow Curious how AI's shaking up your workflow? Drop your take in the replies, we're all navigating this together. 🚀

Check out the Artemis Developer Preview to turn the code you have into the code you need. #vibetoviable https://t.co/qmm8KDagGR 10/10

[TurinTech AI @turintechai]

“Today’s AI tools feel like sitting in the back of a Ferrari with broken steering.”

🧵 On @StackOverflow Podcast, TurinTech VP Engineering Mike Parker dives deep into AI's promise vs. reality in software dev, why it slows teams down, how to flip that + the future ahead. 1/10

[TurinTech AI @turintechai]

Finally: Think team flow. AI's optimizing individuals now, but magic happens in groups: bouncing ideas, shared vision. Future? AI as team members with memory, bridging expertise. Build great teams (human + AI) for great products. 9/10

@StackOverflow

[TurinTech AI @turintechai]

AI shouldn’t start from zero every time.
In this clip, Michael Parker explains why AI needs memory, context, and adaptability; learning roles and history over time to become part of the team, not just a tool.

Full conversation worth a listen 👇

[Stack Overflow @StackOverflow]

🎙️ Host @RThorDonovan sits down with Michael Parker, VP of Engineering at @turintechai, to discuss the newest kind of tech debt caused by AI-generated code, the uneven productivity results of AI tools, and what nervous developers can do to maintain joy in their work.

https://t.co/0TfbWyrrEO

[TurinTech AI @turintechai]

Planning has always been the hard part of software engineering. AI didn’t change that. It just exposed it.

In this clip from the Stack Overflow Podcast, our VP of Engineering explains why requirements, intent, and planning are still the core problem, even in the AI age.

[TurinTech AI @turintechai]

Code generation isn’t the hard part anymore.
The hard part is everything that comes after.
Great conversation on the @StackOverflow podcast about AI, tech debt, and making AI-written code actually hold up in production.

👉Listen here: https://t.co/yKtlm4xSKe

[TurinTech AI @turintechai]

Last week, we opened the Artemis Developer Preview, a first look at how AI can actually improve the code you already have. Here's a quick walkthrough of what developers can do with it today.

https://t.co/gKRby9hRrS

[TurinTech AI @turintechai]

Whether you’re refactoring, modernizing, or fixing bugs Artemis helps you make meaningful improvements with confidence

The Preview is free and open now. 👇
https://t.co/h4ZLPYVQ7x

[TurinTech AI @turintechai]

The Artemis Developer Preview is live!
We built the AI workflow developers actually asked for: Structured. Predictable. Reviewable.

Here’s what’s inside:

[TurinTech AI @turintechai]

👉Scan → Plan → Fix: Precision scanning detects bugs and vulnerabilities. Artemis turns those findings into clean, review-ready PRs you can trust.