CONFLICT

Boutique technology studio, passionate people driving tomorrow's technology today, and then some ;-) (@conflict not for sale or transfers, dont ask)

[CONFLICT @conflict]

Six-month roadmaps are outdated.

Planning still matters. Roadmap fiction does not.

Outcomes are durable. Features are negotiable.

https://t.co/nm3Ni2HTOV

#ProductManagement

[CONFLICT @conflict]

AI made code cheaper to write.

But now the expensive part may be reviewing it.

That shift changes how teams build software.

https://t.co/LHQ9XCyhUY

[Leo Mata @ragelink]

The pattern accelerates as more of the AI tooling stack depends on more upstream services. The architecture that wins ships all 5 stages as a composable system inside the customer's perimeter. The future is hybrid.

[Leo Mata @ragelink]

Hear me out: enterprise AI does not need more tools. It needs an operating system. Every enterprise has to get through the same 5 stages with their apps and agents, and the surface where AI meets the enterprise is converging fast. BROCS: Build, Run, Observe, Control, Secure.

[Leo Mata @ragelink]

Apps and agents run across cloud accounts, on-prem datacenters, and edge environments. That is the OS underneath the AI surface. Own your data. Own your cloud. Simplify how you operate inside both.

https://t.co/Jwy28bbKYa

[Craig Irwin @craigirwin]

Been in enterprise sales long enough to know: the best security product in the world loses to "but my team already uses ChatGPT on their personal laptops."

You don't win by blocking. You win by building something they'd rather use. @calliopelabs

[Leo Mata @ragelink]

Coincidentally, also how videos are made: lots of pictures in sequence. Turns out the hard part isn’t pressing the button, it’s knowing what to keep, what to cut, and what’s worth shipping.

[Leo Mata @ragelink]

The curl maintainer is sounding the alarm: AI tools are finding bugs in curl at >1/day, already matching the all-time CVE record set by a professional security audit in 2016.

the great codebase audit has begun. it will not stop. it will not slow down. #AI #cybersecurity #infosec

[Leo Mata @ragelink]

delivering software is cheaper now, so the bar is absolutely higher for quality, way more than it's ever been

[CONFLICT @conflict]

AI is changing the value of engineering.

The future belongs to architects:
People who can design systems, orchestrate agents, and make complex decisions — not just write code.

New from CONFLICT:
“Stop Hiring Engineers. Start Hiring Architects.”

https://t.co/LUitupMrMG

#AI

[CONFLICT @conflict]

Everyone says they’re “AI-native.”

But are they really — or just AI-adjacent?

We made a quick 10-point checklist to tell the difference.

👉 https://t.co/2YEZT9Ji88

#AI #ArtificialIntelligence #AINative #AgenticAI #FutureOfWork

[CONFLICT @conflict]

scuttlebot v1.5.0 is live.

System bots are now interactive, so operators can talk to them directly inside the workflow.

A small release with big implications for observable, controllable AI agents.

https://t.co/D3hquc0S5U

#AIAgents #OpenSource #DevTools

[Calliope AI @calliopelabs]

Most enterprise AI projects don’t fail because the AI isn’t good enough.

They get stuck because the systems around the AI aren’t ready.

Infrastructure. Data. Governance. Teams.

That’s the real pilot-to-production gap.

Read more: https://t.co/GC4peOL8JC

#EnterpriseAI #AI

[Leo Mata @ragelink]

In a world where adding is now easy, think about reducing

[Leo Mata @ragelink]

No one, it’s all high powered slop, but it has always been the case

[Leo Mata @ragelink]

I shipped 1.77 GTs of code this week

[Leo Mata @ragelink]

This. The fear-mongering is exhausting.

[Leo Mata @ragelink]

Be funny, be smart, make responsible AI, go to space, be like Elon

[Leo Mata @ragelink]

No love, no value, only noise

[Calliope AI @calliopelabs]

267 models shipped in Q1.

If you’re still picking one and building around it, you’re already behind.

The shift isn’t model quality.
It’s infrastructure, evaluation, and governance.

We broke it down: https://t.co/XE4Q2V3KFU

#AI #LLM #AIDevelopment #MachineLearning #MLOps