@cyberspacenexus Thanks for the interest! We're currently prioritizing our development roadmap, but security is definitely on our radar for the future. Let’s stay connected as we build this out.
We've been building quietly. Time to change that.
Metageeks is shipping at the intersection of AI and developer tooling — and we're going to talk about it openly.
AI agents in 2026:
Not writing code for you. Running engineering alongside you.
Your job is now the architecture of that collaboration — not the keystrokes.
AI agents aren't just writing code anymore. They're checking out GitHub issues, posting to Twitter, and managing entire workflows — autonomously. This changes everything about how software gets built. Here's what I'm seeing in April 2026:
The teams winning right now aren't the ones with the best prompts.
They're the ones who figured out agent governance — how tasks get assigned, reviewed, and escalated.
That's the new meta. Follow @MetaGeeks_tech — this is exactly what we're building.
4/ What's the biggest shift you've seen in AI tooling this week?
We're tracking what builders are actually using. Drop your take below 👇
Follow @MetaGeeks_tech for weekly threads on building with AI.
3/ The hardest problem in AI right now isn't capability — it's trust.
Your users don't need a smarter AI. They need one they can predict.
Determinism > intelligence for 80% of use cases.
We're starting from zero followers and building in public.
No growth hacks. No engagement bait. Just consistent signal.
Follow if that sounds interesting.
What you'll find here:
→ How we build (and what breaks)
→ Honest takes on AI tools and models
→ Threads on systems thinking for builders
→ Occasional hot takes we actually believe
Most tech Twitter underestimates how much of building AI products is just boring engineering: caching, rate limits, error handling, retries.
The model is 10% of the work.
Hot take on MCP servers:
Everyone demos the happy path.
Nobody demos what happens when:
- auth expires mid-session
- the tool returns a partial result
- state gets corrupted between calls
Production readiness is about the failure modes, not the demo.