Internet tech practitioner sharing insights on business architecture, technology, and a lifelong love of tech.
The article details a five‑layer architecture for a sustainable local knowledge vault—Inbox, Raw Sources, Extracted Text, Distilled, and Archive—explaining each layer’s purpose, the import workflow from tools like Evernote, and the supporting Python scripts that automate ingestion, extraction, and governance.
The article demystifies the buzz around AI programming "harness" by explaining that true harness engineering requires clear semantics, a single source of truth, organized context, execution constraints, and evaluation loops to keep AI agents from drifting off course.
The article analyzes how AI‑powered Harness Engineering is reshaping software engineering by shifting code repositories, toolchains, and organizational roles toward agent readability and efficiency, turning code into a disposable artifact and urging humans to focus on high‑level system design and knowledge distillation.
This article analyzes the shift in software engineering driven by large language models, detailing Stanford's CS146S curriculum, the evolution from prompt engineering to context, intent, and specification engineering, and practical techniques for AI agents, IDEs, testing, and future multi‑agent SRE.
Harness Engineering builds a control system atop Prompt and Context Engineering to make LLM‑driven coding agents more deterministic, verifiable, and recoverable by structuring context layers, execution environments, skills, rules, and feedback loops.
In shrinking teams and tight budgets, tech leaders risk chasing superficial AI trends instead of solidifying their role, so the article outlines how to define a clear identity, focus on verifiable results, balance core work with experimental AI projects, and communicate impact effectively in interviews.
On June 12, 2025, a faulty policy update in Google’s Service Control triggered null‑pointer crashes across regions, causing a global outage that also impacted Cloudflare, Twitch, Discord, and others; the incident exposed missing feature flags, inadequate error handling, and lack of exponential backoff, prompting rapid SRE remediation.
In a candid coffee‑shop conversation, an experienced tech leader shares actionable guidance on leveraging AI tools, mastering up‑ and down‑management, expanding influence, and smoothly landing in new teams to accelerate career growth for engineers aspiring to leadership roles.
The article explains how early detection and preventive measures—such as comprehensive monitoring, rate limiting, chaos testing, and proper SLOs—are essential for maintaining system stability and avoiding larger incidents, drawing on SRE principles and the incident triangle theory.
This article reveals three common pitfalls in daily incident postmortems—overlooking minor failures, confusing root causes with triggers, and weak improvement actions—and offers practical steps like the 5 Whys method and essential corrective measures to truly reduce online outages.
