Dependency updates are not just maintenance.
They’re risk management.
Updating too fast can break stability.
Waiting too long creates dependency drift.
The question isn’t “Should we update?”
It is: “How do we update without turning maintenance into roulette?”
#SoftwareEngineering
Everyone expected AI to replace senior engineers.
The opposite may be happening.
🧠 Code is easier to generate.
⚙️ Architecture is still hard.
📈 System mistakes are still expensive.
AI can write code.
Can it design reliable systems?
#AI#SoftwareEngineering
Why use synthetic data on Earth?
Because we first needed it for places where real training data barely exists.
Mars is one example.
But Earth has the same problem when data is private, risky, or hard to label.
Synthetic data fills the gaps real data can’t.
#SyntheticData#AI
Did you know NASA flew a helicopter on Mars?
🚁 Ingenuity was built for 5 flights.
🔬 It completed 72.
🌌 It proved powered flight on another planet was possible.
Its mission ended in 2024, but the achievement stands.
Some missions expand what engineering can do.
#NASA#Mars
Are we thinking big enough about multimodal AI?
👀 Humans connect what they see.
🎧 What they hear.
📡 And countless other signals.
AI is only beginning to do the same.
What’s the wildest use case you can imagine?
#AI#MachineLearning#MultimodalAI
🧠 You won’t remember the clever shortcut.
🐛 But you will remember the 2AM bug it caused.
A year later, you’ll read your own code and think:
“Who wrote this?”
💻 Then realize:
“…oh.”
Great developers write code for future them too.
#SoftwareDevelopment#Coding
“The first victim of Artificial Intelligence.”
Funny meme, but there’s truth behind it.
The value is shifting from:
❌ producing content/code
to:
✅ designing systems
✅ orchestrating tools
✅ understanding context
✅ making decisions
#AI#Automation#Tech#FutureOfWork
We’re heading to Robotics Summit 2026 as a Gold Sponsor.
Visit us at Booth #244.
At Geisel Software, we build software for robotics and autonomous systems.
Catch Brian Geisel’s talk Wednesday at 1:15 PM: “Why Autonomy Fails Between Model and Metal”
#Robotics#EdgeAI#Autonomy#AI
⚙️ Software, AI, and data engineering are starting to merge.
The bottleneck is no longer writing code.
It’s building reliable systems that scale.
The most valuable engineers today are system orchestrators.
#AI#SoftwareEngineering
“Why synthetic data?”
We built it for Mars because no data existed there.
Now Earth needs it too.
🔒 No privacy risk
⚖️ No sensitive data exposure
For banks, hospitals, and logistics, safer AI starts with safer data.
#AI#SyntheticData
🏥 MedTech is now a convergence of robotics, AI, connected systems, and embedded software.
From surgical robotics to AI diagnostics, healthcare innovation depends on reliable real-world systems.
#MedTech#AI
Curiosity didn’t kill the cat. It built careers.
🔍 Understand how things work
🧠 Learn from people
⚙️ Rethink problems
From consoles to robotics, curiosity drives progress.
At Geisel Software, it’s how better systems are built.
#StayCurious#Engineering#Innovation
More tools ≠ more productivity.
⚙️Tool overload adds friction
🔍Context switching kills focus
🧠Orchestration > tools
The problem isn’t capability. It’s how systems work together.
Productivity today is about reducing friction, not stacking tools.
#Productivity#Engineering#Tech
“Use Waterfall for your next project!”
…not always 😄
But there is a time for it 🚧
You can’t deploy on the Moon
→ tweak
→ redeploy
⚙️ Agile = fast feedback
🚀 Waterfall = right before launch
Where has Waterfall worked better for you?
#Agile#Waterfall#Engineering
AI isn’t killing engineering jobs. It’s reshaping them.
⚙️ 67,000 open roles (3-year high)
🔍 More demand for AI & system integration
🧠 Higher bar for engineers
Not fewer jobs. Different ones.
The future is more specialized, not smaller.
#AI#SoftwareEngineering#Tech
Product management is changing.
⚙️ More system complexity
🧠 More technical alignment
🔍 More integration across hardware software
PMs are no longer just defining features, they’re navigating entire systems.
The future of PM isn’t less technical.
#ProductManagement#AI#Tech
Physical AI is everywhere.
But building it is another story.
⚙️ Not just AI hardware
🔍 Real-world constraints change everything
🧠 System performance > model performance
👉 8 key questions engineering leaders are asking
Link in comments
#AI#PhysicalAI#Robotics#EdgeAI
NASA asked us: can AI detect “blueberries” on Mars? 🚀
Not fruit, but hematite spheres linked to past water 🔴
No dataset exists so we generated synthetic data, trained a model, and ran it on the rover 🤖
Goal: autonomy. Explore, analyze, report 👀
#MarsExploration#AI#SpaceTech
Synthetic data is changing sensor development 🤖
Train models before hardware exists
🧪 Test in realistic simulations
⚠️ Validate rare edge cases
Faster iteration. Safer testing. More reliable systems 🔬
#AI#SyntheticData#Robotics