Taskade started as a real-time collaboration tool for planning and productivity. Then we added memory, agents, and automations. Soon it stopped feeling like a static tool and started acting like a real living workspace that could handle parts of the work on its own.
This morning I opened my inbox to find an alert from GitGuardian about a leaked key. My first thought: Great, another phishing email. Nearly deleted it on the spot. Then I realized yesterday when I was using Cursor to bulk-update my scripts, I d left the API key in plain text
Came across the recent Claude Code leak from Anthropic, and what stood out wasn t the leak itself, but what it revealed about how these systems actually work.
A source map file accidentally exposed ~500k lines of TypeScript
Turns out Claude Code is basically a multi-step prompt orchestration system, not some mysterious black box
Includes things like:
layered prompt pipelines ( prompt sandwich )
fake tools to prevent model distillation
simple frustration detection (regex for rage prompts )
Even hints at future features like background agents and persistent memory systems
What s interesting is this:
It kind of confirms that the real product layer in AI isn t just the model it s everything wrapped around it.
Netflix for AI generated fims, pretty self explanatory
Problem
This week, Google unveiled Veo 3, its latest AI video model capable of generating hyper-realistic videos from text prompts. The line between AI-generated and human-made content is blurring rapidly.
I m exploring different Backend-as-a-Service (BaaS) options for vibe coding projects small but creative builds that start locally and later go live (think quick prototypes, coding agents, or AI-powered hobby apps).
I d love to hear your thoughts on:
how easy is it to debug or simulate the backend locally?
how smooth is it to go from local to hosted?
any gotchas or scale-to-zero tricks to keep costs minimal?
functions, auth, storage, DB branching, edge runtimes, etc.
I just launched AllPub.co and built pretty much the entire thing using Vibecoding with Claude Sonnet 3.5. I'm a software architect with just some basic Python knowledge, so this was my first full web app build. Wanted to share my experience!
Few months ago (like everyone else) I also got overwhelmed with all this vibe-coding happening around me, being a developer myself I got a little FOMO too I have personally built a bunch of tools using "pure" vibe-coding.
It took me a while to understand that one of the biggest challenges of vibe-coding is the back & forth with AI - which can save or burn a huge amount of your time. I got stuck with fixing and recreating code bugs and fighting with the leaks that AI generated for me.
My first product - which was a simple resume parser and enhancer took around 3 months to build for the same reason. It failed badly - because I sucked at marketing.
With the second product that I launched which was a no-code portfolio website builder (Fllaunt AI) took around 2 full weekends only!
I ve spent the last few months obsessed with a specific failure in multi-agent systems: The Black Box Dilemma.
Most MAS setups I see (including my own v1) treat orchestration as "glue code." You have a central manager, a few agents, and a lot of hidden logic. When it fails, you re left guessing. As someone on IndieHackers put it: "You re just parallelizing chaos."
The Shift: From "Dictator" to "Blackboard"
In our latest iteration, we deleted the 430-line monolithic controller. Instead, we implemented a Blackboard Pattern.
So I've got a bunch of agents building Klatch for me now, following Gall's law principles. It's still in alpha. No overpromising. But I got it going this past Saturday and it's already functional. Like most of my stuff this is fully open source so anyone can grab it and fork it, or make a version for Gemini, or whatever. Let me know if you find it useful. We're working on context and resource preservation post-import, next.
