AI Adoption
Agent Harness vs Work Harness: One Term, Two Systems, Two Owners
AI harness means two things: the agent harness you buy and the work harness you build. A layered map - and why the layer you build is where your leverage is.
·16 min read
AI Adoption →Architecture →Engineering →
All Posts
44 posts, since 2023 — practice, not theory: how two software architects think about AI adoption, the Harness Model, architecture decisions, and delivery.
Featured posts
AI Adoption
How to Start using AI in Software Development Today
A practical guide to your first AI-assisted development experiment. Start small, build calibrated trust, and learn context engineering in under an hour.
Featured Posts![Making better architectural decisions thanks to slow thinking]()
![Effective planning for Site Reliability Engineering (SRE) projects]()
![The Harness Model - AI Engineering Maturity Matrix, Q1 2026]()
Architecture
Making better architectural decisions thanks to slow thinking
In this blog post, we explore how embracing slow, analytical thinking, supported by Architecture Decision Records, can lead to more deliberate and durable architectural decisions.
Engineering
Effective planning for Site Reliability Engineering (SRE) projects
This blog post provides a comprehensive guide to effective planning for Site Reliability Engineering (SRE) projects, balancing long-term initiatives with operational responsibilities. However, the principles and practices discussed here are not limited to SRE. They can be applied to any software engineering project, making them relevant for a wide range of teams and organizations.
AI Adoption
The Harness Model - AI Engineering Maturity Matrix, Q1 2026
A 10-dimension maturity matrix for AI engineering teams. Assess where you are, from chatbot-assisted to agentic flywheel, and build the harness that matters.
AI Adoption
Team Topologies in the AI Era: Where Does the Cognitive Load Go?
Re-reading Team Topologies for the AI harness era: the harness relocates cognitive load, it does not remove it - and each team type feels it differently.
·17 min read
AI Adoption
When the Weakest Dimension Wins: Architectural Governance at Scale
On AI platforms, architectural governance is the weakest dimension that decides what ships. Learn to treat context engineering as architectural practice.
·24 min read
AI Adoption
E2E test harness for AI agents: better specs, not smarter models
How we built an E2E test harness for AI agents on a Spring Boot service: domain aggregates and SCNs cut commits per test step 5x at flat CI time.
·33 min read
AI Adoption
AI Toolset for Software Architects (Q1 2026)
Our Q1 2026 AI toolset for software architects - five categories from research to QA, prompt engineering as a discipline, and practical lessons from the field.
·17 min read
AI Adoption
What makes an MCP server successful?
Understand key factors contributing to the success of an MCP server through architecture, design, and implementation analysis of Context7 - the most popular MCP server
·32 min read
Architecture
Protecting Architecture with Automated Tests in Python
Learn how to enforce layered architecture in Python projects using PyTestArch for automated architecture tests.
·9 min read
Architecture
Denial of Wallet: Cost-Aware Rate Limiting for Generative AI Applications - Hands-On Implementation (Part 3)
Build a rate limiting system for GenAI APIs. Learn token bucket implementation, quota management with Redis, and test multi-level limits with real load scenarios.
·15 min read
Architecture
Denial of Wallet: Cost-Aware Rate Limiting for Generative AI Applications - Strategy (Part 2)
Learn practical strategies to prevent Denial of Wallet attacks in GenAI apps. Compare rate limiting algorithms and implement cost-aware protection with actionable checklists.
·25 min read
Architecture
Denial of Wallet: Cost-Aware Rate Limiting for Generative AI Applications - Introduction (Part 1)
Prevent Denial of Wallet with cost-aware rate limiting. Learn how heterogeneous request costs shape design, trade-offs, and when to build custom limits.
·15 min read
Architecture
The Staff Engineer Toolkit
This post defines the Staff Engineer as a senior IC who leads through influence and broad technical judgment. It offers high-level guidance on architecture, communication, learning, time management, and execution, and calls out common pitfalls to avoid.
·12 min read
Architecture
Services Architecture and Code Ownership
Ownership in a services architecture goes beyond code - it also covers design, operations, and evolution. This article covers ownership principles, supporting team structures, and common pitfalls.
·5 min read
AI Adoption
AI Toolset for Software Architects (Q3 2025)
A short overview of AI tools for architecture-aware prototyping and knowledge-driven design workflows that we currently use and explore as software architects.
·5 min read
Architecture
If you don't know how to name your technique, use "test"
Exploring how the word "test" is often used in software development technique names in misleading ways, with examples from Test-Driven Development and Contract Testing.
·2 min read
Architecture
Partitioning of Key-Value Data in Cache Systems (Part 3)
Learn how to implement a scalable caching layer using Twemproxy, Memcached, and Ketama consistent hashing in Kubernetes. This article provides a practical guide for software architects and developers.
·10 min read