Tag Archive

Technical Leadership

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Post - June 09, 2026

5 Best Practices for Spec-Driven AI: Cutting Rework by 50%

Maximize AI productivity with spec-driven development best practices. Learn how defining constraints upfront reduces context bloat and eliminates AI guesswork.
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Post - January 26, 2026

Multi-Agent Orchestration: 5 Design Patterns for Enterprise Scaling

Discover the top AI agent architecture patterns for 2026. Learn how to implement hierarchical, sequential, and consensus-based multi-agent systems for ROI.
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Post - March 03, 2025

The complete engineer onboarding checklist: codebase, tooling, and team integration

Complete engineer onboarding checklist with codebase walkthroughs, dev environment setup, team integration strategies, and 30-60-90 day milestones.
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Post - February 09, 2023

Architecture as Code: What It Is, Why It Matters, and How to Implement It

Learn what Architecture as Code means, why it matters for scalable systems, and how to implement it using ADRs, fitness functions, and diagram-as-code tooling.
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Post - September 04, 2022

The Three-Layer AI Engineering Stack: Application, Model, and Infrastructure Explained

Understand the three-layer AI engineering stack and how it differs from classical ML pipelines in structure, differentiation, and build order.
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Post - September 03, 2022

AI Engineering vs ML Engineering: How Foundation Models Are Reshaping the Production Pipeline

Explore how AI engineering differs from classical ML engineering in architecture, data needs, and evaluation when building on foundation models like LLMs
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Post - February 19, 2020

The CTO's Guide to Micro-Frontends: Scaling Revenue, Not Just Code

Discover the business case for micro-frontends. Learn how this architecture reduces time-to-market and improves team autonomy for enterprise organizations.
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Post - July 20, 2019

DevOps Culture: The Importance of Blameless Postmortems

Learn how blameless postmortems work, why they outperform blame-driven incident reviews, and how to run them effectively in modern DevOps engineering teams.
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Book Notes

Book Note - January 13, 2022

The Pragmatic Programmer: Engineering Principles That Still Define Great Software

A comprehensive technical breakdown of The Pragmatic Programmer's core principles - DRY, orthogonality, reversibility, and more - with modern engineering context and practical examples.
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