I'm currently implementing automations for a business. I’m struggling to ensure clients fully understand what’s been delivered and where to find key documentation. We’re communicating on WhatsApp, but I have detailed instructions in Notion that often go unseen. How do you all ensure clients reference the right resources without overwhelming them? Also, when multiple automations are involved, some created by me, others by other team members.how do you structure documentation or handover so clients don’t get lost?

I could go away for a good few minutes while Claude code built my app.. Mind boggling!

Verdict: Coworker is good but not quite! Currently it's for Mac users only.

I bought a new domain and built a landing to validate the idea, would love for you guys to check it out https://kleercode.com I also recorded it on youtube https://www.youtube.com/watch?v=9r6I5QhX3p0

Over the past eight to ten weeks, we've been building and testing a structured system for AI-assisted development. Our focus has been straightforward: good architecture, solid security, and code we can maintain long-term. I want to give a shout-out to Zubair here. Technically he's from a competitor agency, but we had a conversation six or seven months ago where we both realised something: AI development, when done right, is genuinely better than traditional low-code work. We've been on parallel tracks since then, and those early discussions really shaped how we've approached this. The key insight we landed on is treating AI as a controlled tool within a clear system, not just letting it run wild. This gives us consistent results, enforced structure, and keeps us in control of the decisions that matter. What's been surprising is how straightforward this actually is in practice. When you nail the basics, clean data models, proper permissions, audit trails, disciplined deployment. AI development stops being scary. It's actually more transparent and secure than the heavily abstracted no-code platforms many of us started with. You can see what's happening, control the boundaries, and own your logic. The main thing I've learned: AI-driven development doesn't mean abandoning good engineering. If anything, it demands it. And when you approach it with that mindset, it actually makes you a better developer. See example from our PM System (Traditional Dev + AI assisted development) of what we have developed in past few months for our internal use.