Articles by Grizzly Peak Software

Skip the PhD. A working developer's roadmap to AI in 2026: LLMs, agents, MCP, RAG, and the projects that actually build real skills.

Contentful's free tier ran out. I migrated 200 articles to self-hosted PostgreSQL in two hours with Claude Code. Here's the full playbook.

My AI publishing pipeline got a book flagged on Amazon. Here's how I added content risk assessment and why every agentic workflow needs quality gates.

OpenClaw has 247K stars. Its creator started with a simple agent loop. You should too. Build the fundamentals before adopting the framework.

Rome's road network, provincial governance, and currency debasement mirror the same failures we build into software. The parallels are uncomfortable.

Five senior engineers, zero decisions. Here's why elite teams stall and four frameworks that actually break the deadlock.

Five-layer guardrail architecture for AI document extraction pipelines that fabricate data instead of failing visibly.

The agent pattern that made Cursor powerful is moving into docs, spreadsheets, and email. The engineering challenges are harder than you think.

Your AI writes fast. It also writes JWT bugs, hardcoded secrets, and SQL injection. Here's what the scanners actually found.

Six months of tracked hours and output reveal where AI tooling actually boosts solo developer productivity and where it quietly costs you time.

80+ books, 70 audiobooks, one AI-assisted pipeline. Here's why the "AI content is slop" argument confuses the tool with the operator.

I built an AI chatbot that diagnoses car problems and generates repair content. Here's what I learned about trust, accuracy, and domain-specific AI.

Five products, no employees, under $1K/month. Here's the exact stack, AI tooling, and philosophy behind running it all solo.

After 40+ years in software, here are the engineering skills AI has devalued and the ones worth doubling down on right now.

AI delivery pipelines need governance for accountability and compliance. Add traceability, approval gates, and audit trails without crushing velocity.

Build a local-first MCP documentation server so your AI coding assistant actually knows your codebase, APIs, and team conventions.

REST APIs weren't built for AI agents. MCP servers are the semantic layer that lets AI discover and invoke your tools. Here's why adoption is inevitable.

A Node.js engineer explains why single-agent AI systems fail at scale and builds a multi-agent orchestrator with smart routing to fix it.

A hands-on walkthrough of fine-tuning Mistral-7B on personal blog posts using LoRA on an NVIDIA DGX Spark — from training data to local deployment, in one evening.

Low-code platforms promised to democratize software development. AI-augmented engineering just made that promise obsolete — and cheaper.