Why this combo is interesting If you want an AI-assisted coding workflow without paying for hosted inference, you can combine: - ClaudeCode as your coding workflow (prompts, refactors, tests, review loops) - Claude Skills (Skill Creator) as your reusable automation layer (repeatable “mini-agents” like “Write PR description”, “Generate unit tests”, “Create API client”, etc.) - Ollama as your free local model runtime (run models on your laptop/workstation) The result: a practical “local-first” setup where your day-to-day coding helpers run on Ollama at $0 inference cost (hardware permitting) / Cloud model with rate limiting, while you still get a structured workflow via ClaudeCode + Skills. What you can build with this stack Full & Detailed Article is here. https://www.linkedin.com/pulse/build-free-ai-coding-stack-claudecode-claude-skills-local-dogiparthy-btohc/?trackingId=OV8Oh%2FTzwGYCazobvxJ%2BaQ%3D%3D

2 videos in one day?? Had to do it... Claude Code just dropped a major update to how skills work. The new Skill Creator helps you build better skills from scratch, run evals to test how they perform, optimize existing skills for better accuracy, and trigger them more reliably. In this video, I break down everything that changed and then do a full live build of a brand new skill so you can see exactly how it works. Whether you're just getting started with Claude Code or you've already been building skills, this update makes the whole workflow significantly better.

Cyber risk is no longer just an IT problem - it is a boardroom priority. Yet many mid-sized and growing organizations face a difficult reality: - Threats are increasing - Compliance requirements are expanding - Customers are demanding security assurance But hiring a full-time CISO is expensive and often unjustifiable In India and globally, a seasoned Chief Information Security Officer can cost ₹1.2 Cr – ₹3 Cr annually when you factor in salary, benefits, tooling, and support structure. For many organizations, that investment simply does not align with their current scale. This is exactly where the Virtual CISO (vCISO) model is transforming the market. 🔍 What a Modern vCISO Actually Delivers A mature vCISO is not just an advisor who shows up for quarterly reviews. Done right, it provides continuous, structured cyber governance: ✅ Continuous risk visibility ✅ Compliance posture tracking ✅ Incident readiness ✅ Vendor risk oversight ✅ Executive-level reporting ✅ Security roadmap aligned to business growth The key shift is moving from periodic consulting to continuous security leadership as a service. 💰 The Cost Advantage Is Significant Let’s look at a typical comparison: - Full-Time CISO ₹1.2 Cr – ₹3 Cr per year - Additional team costs - Tooling overhead - Limited scalability AI-Enabled vCISO (Modern Model) - Fraction of the cost - Scales with business size - Continuous monitoring - Automated evidence collection - Faster audit readiness For many mid-market firms, this translates to 60–70% cost optimization while improving security maturity. 🧠 The TerraAmp Perspective At TerraAmp Innovations, we believe the next evolution of cyber leadership must be: - Continuous - Intelligence-driven - Context-aware - Automation-assisted - Business-aligned Our vCISO platform is designed to give organizations enterprise-grade security governance without enterprise-grade overhead. Because in today’s threat landscape, the real question is no longer: “Can we afford a CISO?”

An on‑premises coding AI workflow with no API fees & no limits! What if you could wield Anthropic’s Claude Code CLI at home - offline, unlimited, and completely free - by plugging it into Ollama’s local model runner? I'm using by combining Claude Code with Ollama’s open‑source Qwen3‑coder:30b (local) model to build our own on‑prem coding assistant. No cloud API keys. No surprises on your bill. Just fully local AI power. Why Go Local? Zero fees, zero lock‑in, Zero Exposure. Once you download the model, every inference is free and yours forever - no per‑token charges, no rate limits. Privacy & compliance. Your code, data, and prompts never leave your machine. Great for sensitive projects and regulated environments. Offline & resilient No internet, no problem. Use Claude Code even in flights, secure facilities, or remote locations. Requirements: Ollama installed for local model execution and Claude Code CLI installed (Anthropic’s open‑source terminal app) By bridging Claude Code with Ollama’s Qwen3‑coder model, you unlock a fully offline, cost‑free coding assistant that lives entirely on your hardware. No more API bills, latency spikes, or vendor lock‑in. Give it a try, share your experiences, and let’s build with freedom! I'm using qwen3‑coder-30b model, and it is upto you to choose the right model. If you guys need a run-book, ping me. I'm happy to share it with you.

Medical clinic. Patient fills intake form. Someone types it all into system. Allergy information buried on page 3. Built intake processor. Critical allergies trigger instant alert. Different Slack channel. Staff knows immediately. THE HEALTHCARE DOCUMENTATION RISK: Penicillin allergy on form. Nurse doesn't see it until patient is in room. Doctor almost prescribes it. Near miss. Documentation existed. Wasn't surfaced fast enough. THE DISCOVERY: Document extraction pulls complete patient information. Code checks allergies against critical list. Different routing based on severity. Critical allergies go to urgent channel. Everyone sees it. THE WORKFLOW: Google Drive trigger watches intake forms → Download PDF → Document extraction pulls patient info, insurance, medical history, medications, allergies → Code processes and checks for critical allergens → Sheets creates patient record → IF checks critical allergy → TRUE: Slack urgent channel alert → FALSE: Slack routine intake notification. 8 nodes. HIPAA-aware design. THE CRITICAL ALLERGY DETECTION: Code maintains critical allergen array: penicillin, sulfa, latex, iodine, aspirin, nsaids. Patient allergy list checked against array. Any match triggers urgent routing. Different Slack channels: #critical-alerts vs #patient-intake. Staff knows the difference. THE DATA EXTRACTION: JSON Schema captures: Patient info (name, DOB, contact), insurance details, medical history, current medications with dosages, allergies with reaction severity, emergency contact, reason for visit. Code calculates age from DOB. Formats medications list. Flags "NKDA" if no allergies. THE TRANSFORMATION: Before: Manual data entry. Allergy information buried. Near misses happen. After: Automatic extraction. Critical allergies surfaced instantly. Staff prepared. THE NUMBERS: 200 intake forms monthly 6 critical allergens monitored Instant alert on match Data entry: 15 minutes → 2 minutes review HIPAA NOTE: Self-hosted n8n recommended for PHI.