Aerion Technologies

In health tech, speed is not enough. Trust, security and reliability come first. Great insight from Dr Anurag Ganugapati on the DevReady Podcast. Full episode live. #HealthTech #Startups #AI

Your first version won’t be right. Real users will tell you why. DevReady Podcast 👇

AI is moving fast. Accountability is not. New DevReady clip with Jeff Bogensberger. Tech hype, startups, and what founders miss. Full episode out now.

He built the solution first. Then realised he missed the real problem. Great insight from Dr Anurag Ganugapati on the DevReady Podcast. Full episode out now. #Startups #HealthTech #ProductMarketFit #AI

More tech. More efficiency. So why are we still overworked? New DevReady clip with Jeff Bogensberger. Full episode out now.

People don’t resist change… They process it like grief. DevReady Podcast with Jodi Woelkerling 👇

Most products fail because they overcomplicate UX. Abi Iyer explains: 1️⃣ Focus on one core action 2️⃣ Optimise for speed 3️⃣ Don’t hide key actions That’s how products scale. Full episode out now.

Design is not about aesthetics. It’s about fit. Abi Iyer breaks it down: 1️⃣ Business model shapes design 2️⃣ Context matters 3️⃣ Products must fit real workflows Most teams miss this. Full episode out now.

Startup lesson: Take the win. Don’t let ego cost you everything. Mark McCormack on DevReady 👇

AI memory is still a problem. Context vs retrieval. Neither approach is perfect yet. That’s where the next leap comes from.

Got an idea but no plan Let AI interview you Build the plan together New DevReady Podcast clip with Gareth Rydon Full episode live now

AI improvements aren’t just model upgrades. Hardware efficiency is becoming critical. Better routing → faster queries → lower cost.

All AI tools are starting to look the same The real difference is how you use them New DevReady Podcast clip with Gareth Rydon Full episode live now

AI platforms are quietly tightening limits. You see a usage bar. Behind it, fewer tokens. Compute constraints are shaping the experience.

AI can build software fast. That’s not the problem. The problem is what happens after: integrations scale real users That’s where most “vibe-coded” systems break. We unpack it here 👇 aerion.com.au/blog/vibe-codi…

AI models are “cheaper” per token but use more tokens. So total cost goes up. Also, most models are now at parity. Benchmarks matter less. Execution matters more.

I agents are getting closer to “virtual workers”. MCP + tool access + computer use. The next step is efficiency: load only what’s needed, when it’s needed.

AI platforms are merging into one app. Chat + coding + agents. If it can code, it can build. If it can build, it can solve. That’s the path to an “everything agent”.

If you're overthinking a decision… It may not be right. Simple insight from Alexandra Andrews on DevReady 👇 → Write it down → Step back → Observe it clearly Sometimes clarity isn’t more thinking. It’s less.

AI models are now finding zero-day exploits. Including vulnerabilities that existed for decades. This changes both defence and attack.