A Senior Rust Playbook for Claude Code, in One File
How I collapsed a 38-sub-skill Rust knowledge base into a single 250-line Claude Code skill — and the format choices that made it work.
Insights on cloud optimization, infrastructure, and engineering best practices
How I collapsed a 38-sub-skill Rust knowledge base into a single 250-line Claude Code skill — and the format choices that made it work.
A LinkedIn 'recruiter' pointed me at a malicious GitHub repo. The moment I opened it in Cursor, a tasks.json autorun fired DPRK Lazarus's BeaverTail loader against my dev machine. Here's how the attack works, the one IDE setting that makes it possible, and how I used Claude Code as an incident-response copilot to scope and neutralize it.
You don't need a custom Anthropic-SDK client to put a real agent in your product. Run an off-the-shelf coding agent as a subprocess, expose your business logic as MCP tools, and the agent works on top of any stack — Next.js, FastAPI, Rails, Express, doesn't matter.
I shipped 9 production deliverables in 30 hours of development time. Without AI, the same scope would have taken 140-160 hours. Here are the actual numbers, not projections.
How a 512-token Claude Code skill uncovered critical IB TWS API anti-patterns and improved my trading app performance 5x — and why skills beat MCPs for domain-specific AI coding.
Most AI agent frameworks force a false choice between parallel tool calls and code generation. The best agent systems use all three execution modes strategically.
Most teams treat semantic caching and prompt caching as alternatives. They solve different problems — and layering them cuts LLM costs by 40-90%.
Managed Kubernetes isn't the only option. Here's how to set up a production-ready K8s cluster on bare-metal VPS servers with Ubuntu 24.04, containerd, and Cilium — step by step.
Most RAG pipelines do one fetch and hope for the best. An agentic approach lets the LLM decide what to search, when to retry, and when it has enough context — and the output quality isn't even comparable.
Early-stage startups can't hand off a fixed deliverable — the deliverables are always changing. The question is whether your technical team sees that as a problem or as the whole point.
A practical framework for building your GTM strategy: ICP, Value Proposition, Pricing, Mechanism, and Sales & Marketing channels.
LLM response quality is directly proportional to context quality. Learn how context mining automation through RAG transforms AI systems from generic responders into domain experts.
Hard-earned lessons about what actually drives business success — from selling outcomes to the power of knowing what not to do.
A guide to running your own privacy-focused AI coding assistant using open-source tools and custom model endpoints with OpenCode and LiteLLM.
Python 3.14 delivers template strings, officially supported free-threading, deferred annotations, stdlib subinterpreters, and a faster tail-call interpreter.
Why most GTM strategies fail at the product-engineering handoff — and how a well-crafted PRD bridges the gap between market reality and technical execution.
Securely expose internal websites to your remote team with zero public attack surface — using an obfuscated VPN and automated TLS certificates.
A deep dive into namespaces, cgroups, and other kernel features that make container isolation possible — and why it's different from VMs.
How we built a trading analysis tool combining volatility modeling, Monte Carlo simulations, and ML forecasting for options pricing.
If you show something to a web user, there's no technical way to prevent scraping. Here's why, and what you can actually do about it.
Discover proven strategies to cut your cloud spending by 40-50% without sacrificing performance or reliability.
An in-depth analysis of when self-hosted Kubernetes makes financial sense compared to managed solutions like GKE, EKS, or AKS.
A comprehensive guide to planning and executing zero-downtime cloud migrations for production workloads.
Learn how to integrate OpenAI and other LLMs into your business processes for intelligent automation.
How implementing PgBouncer can dramatically reduce your database costs and improve application performance.
Design patterns for building scalable, cost-effective analytics infrastructure with BigQuery.