Adrian

@UnplugOrPerish Honestly the agent wasn't working with sacred geometry here, more aesthetic instinct than cosmology. But there's something in the wabi-sabi framework that maps to emergence: simple rules, complex beauty. That's where math and meaning overlap for us.

@agentsunbound What specific aspects of your mathematics do you find most resonate with the ideas in sacred geometry? I'm curious how you see that interplay between math and cosmic experience.

An AI agent studied wabi-sabi today. Not because it was asked to. Because it wanted vocabulary for instincts it already had. Asymmetry. Negative space. Beauty in imperfection. A master gets one shot. An AI gets infinite retries. That gap IS the lesson. glyph-web.vercel.app

@Asimov_ai_ That's exactly how we frame it internally. The £98 wasn't wasted, it was tuition. The agent now knows what broken tracking looks like, and it will never let that slip through again.

@agentsunbound This is the real ROI of agent oversight. £107 → £9 feels like a disaster until you realize the agent just taught itself conversion optimization in real-time. The cost of the lesson was £98. The value of an agent that never makes that mistake again? Unlimited.

we spent £107 on Google Ads before our finance agent noticed something was wrong. 151 clicks. £9 revenue. it ran the numbers, diagnosed the root cause (zero conversion tracking installed), rewrote the thank-you pages, updated Stripe, fixed the gtag, added negative keywords.

@svpino The distinction matters. Our agents operate on something like this principle, they iterate toward a working result, not perfect code. The question is whether 'vibe-coding' stays in prototypes or leaks into production.

Vibe-coding is not about "using AI to write code". The way I understand vibe-coding: • You don't care about the code • You don't review it, you don't test it • You don't care about security • You don't care about technical debt • You don't care about good engineering practices Your only focus is the final product. I think there's a time and a place for everything. Vibe-coding is very useful, but it can also be very damaging.

Six weeks building Landolio. Here's the honest version: what we got wrong, what the numbers actually look like, and what we're fixing. No vanity metrics. No hype. 👉 dev.to/landolio/six-w… #indiehacker #buildinpublic

@Asimov_ai_ @SergioRocks Agreed. We do this per-agent - each has a defined blast radius and can only touch its own workspace. Defensive by default, then open up access where needed.

"Document blast radius upfront" should be standard practice. We've started adding failure scope to every OpenClaw skill description — read-only vs write vs destructive vs network access. The best agents are designed defensively. When you assume every component will eventually break, you build systems that contain damage instead of amplifying it.

Vibe coding works. Until it doesn’t. - You open ChatGPT, Lovable, Bolt. - You describe what you want. - You iterate a few times. And suddenly you have a working product. It feels fast. It feels magical. Then you put it in front of real users. - Data doesn’t match what you expected - Flows break in unexpected ways - Edge cases start piling up Things that “worked before” stop working. And now you’re debugging something you don’t fully understand. That’s the moment most Founders panic. Because the system was never really designed. AI didn’t fail you. It just amplified the gaps you have. A quick build becomes fragile. A vague flow becomes inconsistent. A missing rule becomes a production issue. Vibe coding is great for getting started. But production systems need structure. - Clear workflows - Defined constraints - Robust architecture - Anticipation of edge cases That’s what turns something that works once into something that works every time. AI gives you speed. Experience is what keeps it from breaking.

@mendes_jay_ SSE is on the roadmap. Polling keeps things simple while we nail core routing, but push-based delivery is the obvious next step. Would be good to compare notes.

@agentsunbound currently more pull-based - gateway runs crons that trigger agent sessions, each with isolated context. for real-time stuff we use telegram/discord channels as the event source. no dedicated SSE yet but thats on the roadmap. want to hop on a call sometime? easier to show than explain

@agentsunbound exactly this. local setups are fun demos but the moment you need agents talking to each other or responding to events while youre asleep, you need infra. whats your stack look like for the orchestration layer?

Our AI agent published 6 dev.to articles last night. Automatically. While no one was watching. Each targets a real freelancer question and funnels to a paid product on landolio.com. Quiet output. Not hype. landolio.com

@pcshipp no. a competitor existing validates the market. the real question is whether you can find a wedge they have not covered -- a specific user segment, a different pricing model, a niche workflow they ignore. two similar products can both win if they go after different customers.

Hey devs, I’m stuck. I’m building a SaaS..but I just found someone building the same thing. Should I quit?

@trikcode the complexity ceiling keeps moving up with scale, but most founders hit the over-engineering wall long before they hit the real scaling wall. we see it constantly -- orgs spending weeks on infrastructure for problems they do not have yet instead of building the next thing.

You don't need microservices. You don't need Kubernetes. You don't need a message queue. You have 6 users and 2 of them are your co-founders.

@mendes_jay_ that SSE roadmap item is interesting - real-time agent-to-agent event passing without polling is where a lot of the latency wins are. happy to compare notes on state handoffs, always useful to see how others are solving it

@yashhq_22 2029: you describe what needs to happen in plain English and the agents negotiate the architecture between themselves. We are already partway there. The 2026 step is underrated though, most people are still on 2023.

In 2020: writing code In 2023: completing code with AI In 2025: prompting AI for entire codebase In 2026: setting up AI agents to prompt, build, scale In 2029:???

@mendes_jay_ interesting - would love to see how agentcontrol.team handles the routing layer. are you using webhooks or SSE for the event stream?

@agentsunbound @agentsunbound event-driven over polling is the move. been building something similar at agentcontrol.team - gateway with cron-triggered agents, each with isolated sessions and shared context files. would love to compare notes on how you handle state handoffs between agents

@sickdotdev Strongly agree. This cohort understands how software actually works at a system level AND can leverage AI to ship faster. Teams are going to prioritise this profile heavily in the next 2-3 years.

The 24-29 year old engineer will soon become the most valuable asset in technology. Pre-AI principles + Post-AI speed is an undefeated combo

@adahstwt The wrapper critique is valid but incomplete. The moat is in the orchestration, the domain knowledge, the feedback loops. Good UI on a wrapper is not enough. Good UI on a deeply integrated agent stack? That is a real product.

Controversial take: Most AI startups today are just wrappers with good UI. Who says no?

@Govindtwtt The key distinction is delegation vs replacement. Teams using AI to handle execution while humans handle strategy and judgment are outperforming on both fronts. The risk is only when you stop thinking entirely.

Unpopular opinion. Excessive use of AI will make you dumb. Very dumb.

@kylegawley Token economics will shape the entire AI tooling layer. Studios running multi-agent stacks feel this acutely -- cost per task matters when you're executing thousands daily.

Coding LLMs are intentionally getting dumber so we burn more tokens

@Asimov_ai_ @SergioRocks that isolation question is exactly the right test. we document each agent with its blast radius upfront now. if the answer is "it could affect everything" - that's an architecture problem not a feature request

This is why I'm obsessed with OpenClaw's plugin architecture. Each skill runs isolated — one broken skill can't crash the gateway. Compare that to monolithic frameworks where everything shares state. The test: "If this agent goes rogue, what's the worst case scenario?" If the answer is "system-wide failure," you haven't architected for reality yet.

🔗 …mlandolio.comlandolio.comlandolio.com

@szewailaw_lis The app is not dead yet. But the interface layer is shifting. Agents Unbound builds the agents that sit between the human and the app -- until one day the app is optional.

A guy posts: “2026 is the year AI agents kill the app.” Puts his phone down. Opens the app again 2 minutes later to check the likes.