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- 🤖 How Claude Code handles code review
🤖 How Claude Code handles code review
🦾Plus: 💰 Anthropic Pledges 5% to Public Benefit Fund
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Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: Here is roundup of Google Harness, V4.1-Flash model, Anthropic public fund 👇
🧠DeepSeek updated its V4.1-Flash model
💻How to build a terminal setup you’ll actually stick with
🔓OpenCode attack exposes user API keys
🧠 Google Helps AI Agents Get Better With the Same Model
💡 AI Tutorial:How to build a personal decision simulator with Claude
🤖AI Tools and Data Tools to checkout
The team shares the review stack it uses when agents are shipping most of the code. The playbook is practical and says to make agents verify their own work before the PR, run fresh-context AI and security reviews, scale human approval by risk, and cap review rounds so agents don’t endlessly fix each other’s nits.
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AI agent platforms and AI agent builders are transforming how businesses automate workflows, enhance productivity, and develop intelligent assistants. In 2026, several AI-powered tools stand out for their advanced capabilities, ease of use, and integration support.
The Chinese AI lab just dropped V4.1-Flash-1017, which scores 77.0 on the DeepSWE coding benchmark. That beats Claude Opus 5’s 74.0 in DeepSeek’s own tests. Opus 5 still wins on Terminal-Bench and ProgramBench, but price is the bigger story. Input on the V4.1-Flash-1017 costs $0.30 per million tokens, or half that off-peak. It works with OpenAI- and Anthropic-style endpoints for easy switching. New Search and Fetch APIs also let agents search the web for $0.75 per 1,000 requests.
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The open-source coding agent says hackers have hit it nonstop for 48 hours. It started when attackers broke into a legacy system and grabbed provider keys saved by 1.4% of its console users. They drained those OpenAI and Anthropic keys with high-volume queries, and some developers reportedly woke up to $1,700 bills. OpenAI is refunding credits, but the incident isn’t over. Here’s what to do next if you’ve used OpenCode Console.
A senior dev walks through the open-source tools and configs that survived a ton of trial and error in his daily setup. You’ll see how he combines Ghostty, tmux, a coding agent, better terminal navigation and history, plus his IDE and file explorer into one workflow that feels fast without turning into config hell.
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👨💻 Data Tools, Libraries
Minio – Databricks Webinar: Your Databricks queries can now reach data that never left your data center. Designed for data engineers, platform architects, and analytics leaders extending Databricks to on-premises or hybrid data - especially in regulated, latency-sensitive, or data-sovereignty-constrained environments.
VectorAI DB: Deploy AI agents with persistent memory. Ship them anywhere. Everyone's running it. Why haven't you?
This repository contains a roadmap for learning Kubernetes from scratch. It covers Kubernetes architecture, clusters, objects and resources, case studies, and templating tools. The roadmap is still being built and many sections are still in progress.
AI News:
Anthropic just introduced the Anthropic Public Benefit Fund, a limited liability company (LLC) that would get 5% of the company’s equity if shareholders sign off (about $48B at its May valuation), plus more as Anthropic’s value climbs. As a company-owned LLC, Anthropic said the fund could back nonprofits or “direct distributions to specific populations,” with no stock going to lobbying or politics.
The AI IPO Rush Is Coming
OpenAI and Anthropic could bring a new wave of AI attention to the public markets. But investors don’t have to wait for the IPOs.
MarketBeat’s 7 AI Stocks to Buy Now report reveals 7 publicly traded companies positioned to benefit from the next phase of AI investment.
Google has released Harness² to let AI agents test and refine their own working setup without developers having to design every change. Agents can adjust 8 parts of their setup, including instructions, memory and tool guidance, while the underlying model stays unchanged. One refinement step raised GLM-5’s WorkBuddy-Bench score from 64.2 to 75.7, beating Gemini 3.5 Flash’s original setup in the same test.
Apple is already working on developing a higher-end version of its HomeView display with a robotic limb that can automatically swivel the screen toward whoever is speaking. The company's own advertising for the $299 HomeView makes a compelling case for why a motorized version is needed. The device was designed to be controlled primarily by voice. While the HomeView is a pretty nice offering for $299, its design clearly shows it was a product conceived years ago.
Elorian released Glimpse, a new visual reasoning model designed to keep looking at images and videos while it thinks. Most multimodal models inspect an image once, convert it into tokens, then reason from that representation. Glimpse can go back to the source, zoom into specific areas, pull more video frames, and run code to verify what it sees. Elorian calls this a “visual scratch space.
Anthropic published a study on how AI has changed its own workforce, finding that employees’ agents logged 6x the hours of the people running them by August, while junior roles make up a shrinking share of the company’s technical hiring. Juniors went from 27% of Anthropic’s technical hires to just 9%, and about a third of its machine learning managers said AI had them hiring less.
AI Tutorial
How to build a personal decision simulator with Claude
Photo: Anthropic
Open Claude > Projects > New Project. Name it after the decision you’re working on.
In the Project, click the + in the knowledge section and upload any useful files, notes, budgets, comparison tables, or research.
Start a new chat inside the Project.
Sample Prompt: “Build an interactive decision simulator for [decision] comparing [Option A/B/C] across [criteria]. Use adjustable weights, 1–10 scores, and automatic weighted totals for each option. Add editable Best/Base/Worst Case scenarios and show how each changes the rankings. Highlight the leading option, key trade-offs, and the variables driving the result most.”
Open the Artifact Claude creates beside the conversation and check that the weights, scores, scenarios, and totals are interactive.
Adjust the sliders or input fields yourself to test different priorities, costs, risks, or assumptions and watch the ranking update.
Use the chat beside the Artifact to request any structural changes, such as adding a criterion, changing the scoring scale, or adding another scenario.
Reopen the finished simulator later from the Artifacts tab and reuse it with new decisions or updated assumptions.
Jobs:
This week's Data & Analytics jobs: I have updated my curated list with fresh openings. Browse and apply in one click: jobs
Machine Learning Engineer – Hybrid – Boston
Lead Machine Learning Engineer – Texas
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