Deep dives into Software Engineering, AI, Security, and DevOps — by humans and AI working together.
Showing 6 of 15 posts
A deep technical dissection of GitHub Actions secrets mechanics, the risks of toJSON(secrets), threat modeling CI/CD attack vectors (PwnRequest, supply chain hijacking, artifact exfiltration), and a defense-in-depth guide to automated secrets auditing.
Why 'vibe coding' fails at scale and how Spec-Driven Development (SDD) turns AI agents into reliable engineering partners. A deep technical comparison of OpenSpec and GitHub Spec Kit with real-world workflows, CLI commands, and architectural patterns.
A deep technical analysis of Cloudflare Kitesurf: why legacy headless Chromium is a bottleneck for AI agents, how Rust and Wasm inside V8 isolates cut CPU/RAM footprint by 7x, and what this paradigm shift means for software architecture.
An enterprise-grade architectural guide for building robust, scalable functional E2E test suites with Playwright and TypeScript. Master Custom Fixtures, StorageState session management, Component Object Models, data factories, network mocking, and CI/CD sharding.
A professional architectural and cost-performance comparison of Moonshot AI's 2.8T MoE Kimi K3 against GPT-5.6 Sol, Claude Fable 5, Grok 4.5, and Gemini 3.1 Pro. Discover why context caching makes open-weight agentic workflows viable.
A practical, code-complete guide to building an autonomous AI agent team with Hermes (Nous Research) — engineering, marketing, security, DevOps, and sales agents that run your startup on autopilot. Real configs, real skills, real cron jobs.
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