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- 🤖 The End-to-End Agentic AI Pipeline
🤖 The End-to-End Agentic AI Pipeline
🦾Plus: 💸 Meta and Microsoft's AI spending is ballooning

Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: Here is roundup of agent-first apps,GitHub's new feature, Cloud platforms☁️ 👇
🤖How to build agent-first apps
💻GitHub's new feature simplifies large code changes
⚡7 ways to cut your Claude Code token usage in half
🚗 GM is Building its Own In-Vehicle AI Assistant
💡 AI Tutorial:How to vibe code apps with custom themes
🤖AI Tools and Data Tools to checkout

In this article, you will learn the seven architectural components that separate a production-grade agentic AI system from a demo script, and how each one fits into the agent’s core feedback loop. Topics we will cover include: What each of the seven components — perception, memory, reasoning and planning, tool execution, orchestration, guardrails, and observability — is specifically responsible for.
That lead in your CRM? Gone.
Over 3.5 billion people open WhatsApp, Instagram, or Facebook Messenger every day. Your customers are already there, asking questions and comparing options.
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Automations instantly respond, route conversations, and keep every interaction tracked in one place.
Meet customers where they already are, before your competitor does.

Designing cloud architecture is no longer just a diagramming exercise. For most organizations, it now involves workload placement, cost awareness, governance, environment consistency, deployment readiness, and the ability to make sound decisions before infrastructure changes ripple through production.

Traditional software typically separates user interfaces from AI, making it difficult to keep human actions and AI agents in sync. This guide shows how unifying UI and agent logic through a shared framework allows specialized agents to run applications and collaborate directly.
🚀 Dive into the World of Machine Learning System Design! 🌐How do companies like Netflix, Airbnb, and Doordash apply machine learning to improve their products and processes? We put together a database of 800 case studies from 100 companies that share practical ML use cases and learnings from designing ML systems.️

The code-hosting giant just shipped stacked pull requests in public preview. This new feature breaks large PRs into small, reviewable pieces, allowing engineering teams to keep big updates moving without sacrificing quality. Best of all, it keeps “main” branch protections intact. Former senior engineer breaks down this entire concept for you to implement.
You’ll learn how to cut your token usage in half when using AI coding tools like Claude Code. This tutorial breaks down context engineering and workflow tips to help you simplify prompts, save on API costs, and code way more efficiently with AI.
Stop being the middleman between your own finance tools.
Most finance teams work on five different tools and a prayer. Ramp replaces all of it: corporate cards, bill pay, expense management, travel, and procurement. AI-powered with real-time visibility and real control.
👨💻 Data Tools, Libraries
Cube Dev: Agents do the analysis. Your team does the thinking. Cube hands that workflow to AI agents: they model the data, explore it, and build the reports — your team guides and approves — so week-long analysis comes back in minutes. Get started for free
Atera brings RMM, helpdesk, patching, and monitoring into a single platform. And AI isn't the add-on—it's the foundation of every workflow. Most IT platforms were built for a different era—then AI was added later, as a layer. Atera was designed differently. One AI-native platform for everything IT.
ktx (GitHub Repo)
ktx is an executable context layer for data and analytics agents. It allows AI agents to query data accurately and with full context.
AI News:

Tesla might sell off its entire China business ahead of its merger with SpaceX. According to The Wall Street Journal, “some Tesla executives have been told to prepare for a separation of the China business,” which could include a “spinoff, sale, or closure.”
The toughest room in advertising. Ad Studio just cleared it.
Major brands just took over a Times Square billboard, and every ad was built in Hightouch Ad Studio. Sweetgreen, HelloFresh, and Tripadvisor cleared the toughest room in advertising. Create, edit, and launch on-brand ads in a few clicks.

Google’s Gemini AI vehicle assistant isn’t enough. General Motors plans to launch its own in-vehicle AI assistant later this year to go further than Google’s. The new assistant will combine conversational AI with GM vehicle knowledge and OnStar intelligence.

Microsoft pitched its own homegrown AI models, harnesses, and even a Mythos competitor on Wednesday, telling Wall Street it plans for continued growth.

Microsoft and Meta reported sharply rising AI infrastructure costs. Microsoft’s quarterly capital spending jumped 70% to $41 billion, with roughly two-thirds going to short-lived CPUs and GPUs; Meta’s expenses rose 55% to $42 billion as it lifted the low end of its 2026 capex forecast to $130 billion.

Three new studies measured how much shoppers will let AI agents buy for them, and groceries ranked first. In the Nuvei study, 28% would let AI buy groceries, 21% household essentials, 9% travel, and just 6% luxury goods or financial products, while 51% wouldn't let AI buy anything at all.
AI Tutorial
How to vibe code apps with custom themes

Go to Google AI Studio and sign up
Enter your prompt to vibe code an app
Sample Prompt: Make me a game where users can load in and we can all play together in real-time multiplayer sessions, it should be space invaders themed and have a leaderboard to compare scores. Also include customizable ships. And allow for different game modes such as survival and classic. Add achievements and daily challenges to increase engagement. Also, add a training mode for new players to learn the game mechanics.
Now while you wait for an app to be built, Gemini will create custom themes you can easily choose from in seconds
🔥Top AI tools to increase productivity:
Atera brings RMM, helpdesk, patching, and monitoring into a single platform. And AI isn't the add-on—it's the foundation of every workflow.
Siteimprove.ai built an AEO Checker so you don't have to wait to find out. Run your domain to learn which AI search engines can find and cite you.
Creally is the AI platform for creator partnerships. Agents handle discovery, personalized outreach, follow-ups, and negotiations end-to-end
Planable is where posts get created, reviewed, and approved before anything goes live.
Thor.ai captures the blockers, decisions, and commitments that never make it into your tools — straight from Slack threads and meetings
AirRankPilot helps local businesses get discovered by Google and AI tools like ChatGPT and Perplexity
InboxKit is your all-in-one platform for building, managing, and scaling cold-email infrastructure.
View our database of all the best AI tools for your needs: aitoolsup.com
Have cool resources to share? Submit AI tool
A.I. Generated Image of the Day
👀 Beyond Human Imagining

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