insights · June 25, 2026 · 5 min read The Karpathy Method: How to Actually Build Software With LLMs Andrej Karpathy popularized both 'vibe coding' and the discipline of keeping AI on a tight leash. Here's how his generation-verification loop works in practice — and why a private, local platform is the ideal place to run it.
insights · June 22, 2026 · 4 min read Run AI Coding Assistants Locally: Why Your Code Should Never Leave Your Network Cloud AI coding tools send your source code to someone else's servers. For most serious teams, that's a risk they can't accept. Here's how local AI gives you the speed without the exposure.
guides · June 20, 2026 · 3 min read Local RAG for Engineering Teams: Give Your AI Your Codebase, Not the Internet's A generic model knows public code. A local RAG server knows yours. Here's how retrieval over your own repos, docs, and standards turns a good assistant into a great one — without anything leaving your network.
guides · June 18, 2026 · 3 min read Cursor, Continue & JetBrains: Connect Your Whole Team to a Private LLM Your developers already live in their IDEs. Here's how to point Cursor, VS Code, and JetBrains at a private, self-hosted model so every engineer gets AI in their editor — without your code leaving the building.
guides · June 14, 2026 · 4 min read Self-Hosted LLMs in 2026: Hardware, Models, and What It Actually Costs A practical, no-hype guide to running your own LLMs in 2026 — what hardware you really need, which open models to consider, and how the total cost compares to cloud AI subscriptions.
insights · June 12, 2026 · 3 min read AI Without the Compliance Nightmare: Local Models for Finance, Healthcare & Legal In regulated industries, sending source code or data to a third-party AI is a non-starter. Local, air-gapped AI lets your developers move fast while staying inside the lines. Here's how.
guides · June 8, 2026 · 4 min read Which Open Model Should Your Dev Team Run? Llama vs. Qwen vs. DeepSeek Choosing the right open model is the difference between an assistant your team loves and one they ignore. A practical framework for picking — and why the answer changes over time.
insights · June 4, 2026 · 4 min read Cloud AI Coding Tools vs. Local: The Real 2026 Cost Comparison Per-seat AI subscriptions look cheap until you do the math across a growing team. Here's an honest total-cost comparison between cloud AI coding tools and a self-hosted platform.
guides · May 30, 2026 · 4 min read From Pilot to Every Developer: Rolling Out Private AI Across Your Org A successful AI pilot with five engineers is easy. Getting all 200 to actually use it is the hard part. A practical playbook for rolling out a private AI platform org-wide.