A dev got so frustrated watching his AI agent write 500 lines for a 5-line problem that he built a fix.
He called it Ponytail. Named after the guy every team has - long ponytail, oval glasses, been there longer than the version control. You show him fifty lines; he looks at them, says nothing, and replaces them with one.
Now your agent does the same. Before writing anything, it looks for a reason not to.
80-94% less code. 47-77% cheaper. 3-6x faster.
The best code is the code you never wrote.
GitHub Repo: https://t.co/WnFp9YNY53
No comments. Excited that this week, we will have most users exhausting their Max plan limits, and hence, we can use 4.8 freely without any issues due to lower outage. Let's strap in for some real work ;)
Anthropic's in trouble, again!
They spent years building what's now fully open-source.
What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box.
For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response.
Every major AI product tried to replicate it.
But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK.
So teams started building an owned version that required engineering the entire interface layer from scratch.
Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it.
To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run.
@CopilotKit is now the only open-source framework that actually lets you build your own full-stack Claude-like apps.
It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication).
Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice.
In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like:
- generative UI, so the agent renders real components instead of text
- chat windows, sidebars, and popups, or a fully headless setup
- shared state, so the agent and app stay in sync
- human-in-the-loop approvals, where the agent waits before acting
- persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text
And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time.
The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team.
CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more.
CopilotKit GitHub repo → https://t.co/wkQ1taF0rM
(don't forget to star it ⭐ )
If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation.
Read it below.
Everything you need to master in 2026 to get rich:
• Vibe coding
• Hermes agent
• Running Codex/Claude Code side by side
• /goal
• Running your own local models
• Karpathy's Autoresearch
• Building an X audience
• Creating videos
• AI agent swarms
• How machine learning works
• How databases work (been using Convex)
• Using API's
• Training your own LoRAs
• Elimination of doom scrolling
IDEA: reselling open-source repos to businesses. the play nobody talks about
thousands of Github repos solve real business problems. free. open. production-ready
and 99% of businesses will never find them
here's how to turn ANY open-sourced solution into $2,000+/month per client:
1. find a tool that solves an expensive problem
go to GitHub Trending. filter by stars, recent activity, and clear documentation. look for tools that replace something businesses currently pay $500-2,000/month for
examples that exist right now:
- CRM systems (Twenty, $0 vs Salesforce at $300/seat/mo)
- helpdesk platforms (Chatwoot, $0 vs Intercom at $1,200/mo)
- analytics dashboards (Plausible, $0 vs Mixpanel at $800/mo)
- scheduling tools (https://t.co/gGrv3dpGMh, $0 vs Calendly Business at $480/mo)
- email marketing (Listmonk, $0 vs Mailchimp at $600/mo)
- form builders (Formbricks, $0 vs Typeform at $400/mo)
- project management (Plane, $0 vs Jira at $700/mo for a team)
these aren't toy projects. they have 10k-50k+ stars, active communities, and companies already running them in production
2. pick ONE niche
don't be "we deploy open-source tools." be "we replace Salesforce for real estate brokerages" or "we set up private analytics for healthcare companies that need HIPAA compliance"
the niche is where the margin lives. a generic deploy costs you $2k/client in support. a niche deploy costs you $200 because you've done it 15 times and everything is templated
3. deploy it on a $20-50/mo VPS
Hetzner, Railway, Coolify, or a simple DigitalOcean droplet. Claude Code walks you through the entire setup. most of these tools have one-click Docker deploys
your infrastructure cost per client: $20-50/month
what you charge: $2,000-5,000/month (depends on the niche)
everyone wins. they save money. you make money. the math is stupid simple
4. wrap it in their language
not "self-hosted Chatwoot instance on Docker"
say "your own private customer support platform with zero per-seat fees, full data ownership, and custom branding"
businesses don't buy technology. they buy outcomes. "you'll never pay per-seat pricing again" closes deals faster than any feature list
5. build the moat with customization
the open-source tool is the foundation. your value is:
- custom integrations with their existing stack
- branded interface matching their company
- ongoing maintenance and updates
- priority support with a human who knows their setup
this is what separates a $2k/month retainer from a one-time $500 deploy. the tool is free. the orchestration is the product
6. find clients where they already complain
search X and Reddit for "[tool name] too expensive" or "[tool name] alternative." these people are pre-qualified. they already know they have a problem and they're actively looking for a solution
post case studies: "replaced $14k/year Intercom bill with a self-hosted solution for a 12-person team. same features. they own their data now"
screenshots of real savings close deals. not pitch decks
7. scale by stacking tools per client
client already paying you $3k/mo for their CRM? offer analytics for $1,500 more. then email marketing for $1,000. now you're their entire software infrastructure for $5,500/mo and they're still saving money vs their old SaaS stack
one client. five tools. you deployed each one in an afternoon
the part nobody talks about:
these businesses will NEVER find these GitHub repos. they will never run a Docker container. they will never SSH into a server. they will google "affordable CRM for small team" and find you
open source is the new wholesale. the code is free. the packaging is where the margin lives
one person can run 5-10 clients. a two-person team scales to $30-50k/month. no funding needed. no office. no employees
someone is going to do this in your niche. might as well be you
study this
This 1-hour Stanford lecture will teach you more about how AI agents actually work than every "automation hack" thread you've read this year.
Bookmark this & give it 1 hour today, no matter what. Then read the article below.
update: this just went live in Teleport
capture a space → generate a fully navigable 3D world in minutes
📍 captured in a friend's apartment on Iriomote Island, Japan 🇯🇵
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