🔐 Claude Code Security: AI That Hunts Vulnerabilities for You

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✨ Welcome back, Entrepreneurs

This issue is about Claude scanning code for vulnerabilities, Gemini 3.1 Pro boosting reasoning, doctors and solo builders shipping AI platforms in days, and new tools to automate your data and workflows.

🔐Claude Code Security launch shakes cybersecurity stocks

Anthropic has introduced Claude Code Security, a feature that scans codebases for high-severity vulnerabilities, suggests patches, and uses multi-stage verification to reduce false positives, identifying complex issues often missed by traditional tools.

Highlights

• AI‑driven detection of novel, context‑dependent vulnerabilities

• Multi‑stage verification to validate findings and filter noise

• Suggested patches with human‑in‑the‑loop approval

• Severity and confidence scoring for faster triage

Why it matters:
Claude Code Security enhances developer and security team defenses by detecting hidden bugs early, improving security for open-source and enterprise codebases as AI progresses.

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🔥Big AI moves

🔹Ex‑Google PM builds AI spy‑dashboard in days using new frontier models

Sidhu used Gemini 3.1 Pro for spatial reasoning and Claude 4.6 for coding to quickly create a real-time "spy-thriller" dashboard using public data. His demo gained 500,000 views and 6,000 likes, showcasing solo builders' potential to create enterprise-grade tools. However, critics like Palantir's Joe Lonsdale argued that real defense systems require secure, non-public data.

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🧠 AIHealthTech

🔹Cardiologist’s 7‑day AI agent wins Anthropic hackathon bronze

A practicing cardiologist, Michał Nedoszytko, MD created PostVisit.ai, an AI care platform using Opus 4.6, in seven days. Ranked 3rd out of 13,000 applicants, it lets patients access their medical history, connected devices, and resources in one place, showcasing how AI empowers physicians to develop advanced solutions independently.

🔹Your AI Doctor launches as a continuous, lifelong health companion

Superpower launched Your AI Doctor, a health companion that remembers your history, connects symptoms to past data, and reasons like a long-term clinician. It tracks patterns, flags inconsistencies, and provides reasoning with citations, offering continuity of care beyond traditional short visits.

🔹AI can now read brain MRIs across any scanner

Researchers created BrainIAC, a self-supervised model trained on 48,965 MRI scans, which excels across diseases, ages, and scanner types. It surpasses standard models in low-data settings and remains stable despite artifacts and hardware variability.

This issue highlights how targeted cognitive interventions, diet patterns, regenerative biology, and MRI AI are transforming brain health from theory into measurable prevention.

🤖 Google launches Gemini 3.1 Pro for complex reasoning and multi‑step problem‑solving

Google's Gemini 3.1 Pro upgrade enhances logic-pattern solving, structured synthesis, and advanced reasoning, achieving 77.1% on ARC-AGI-2, more than double 3 Pro's score. It also improves explanations, data fusion, and creative workflows in Gemini apps and APIs.

Highlights

• 77.1% ARC‑AGI‑2 score (2× improvement over 3 Pro)

• Stronger multi‑step reasoning for complex tasks

• Visual explanations and unified data synthesis

• Code‑based SVG animation generation

Why it matters:
Gemini 3.1 Pro strengthens Google’s baseline intelligence for research‑grade reasoning, giving developers and enterprises a more capable model for complex problem‑solving, visualization, and agentic workflows.

📊 Automate data with Genspark AI sheets

Genspark AI Sheets is a next-gen spreadsheet tool that uses AI to simplify analysis, visualize trends, and cut hours off reporting.

Step-by-step:

• Go to genspark.ai and sign up for free

• Use natural queries like “Show me sales trends” for instant answers

• Auto-detect errors (duplicates, anomalies) without formulas

• Generate smart charts and dashboards in minutes

• Export or share with your team seamlessly

Pro tip: Use plain language prompts (“Compare Q1 vs Q2 sales by region”) Genspark translates them into full insights without manual formulas.

⚙️ Sunday Special: When agents rise and the job market stalls

This issue looks at how local agents, cooling labor demand, and real‑time coding models are reshaping the career landscape for builders and operators. It examines how leverage is shifting from traditional job signals to shipped output, from centralized compute to personal agents, and from slow iteration to near‑instant execution.

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