2026

• 23 Aug Which Copilot Studio Harness? — A Decision Framework for Enterprise Teams
• 22 Aug Copilot Studio Enterprise Governance — Entra Agent IDs, DLP, and Purview
• 21 Aug Copilot Studio Multi-Agent Architecture — Connected Agents and the A2A Protocol
• 20 Aug Copilot Studio Tools — MCP Servers, Connectors, and the New Workflow Designer
• 19 Aug Copilot Studio Skills and Memory — Modular Agents with Persistent Context
• 18 Aug Inside the Copilot Studio Agents Experience — Build, Preview, Evaluate, Monitor
• 17 Aug The GitHub Copilot Harness — Copilot Studio Gets a New Agent Runtime
• 16 Aug AI Governance at Engineering Scale — What Actually Works
• 15 Aug The Engineering Skill Stack for 2027 — What to Invest in Now
• 14 Aug Voice and Audio Agents in Engineering Workflows — Practical Patterns
• 13 Aug AI-First Sprint Retrospectives — What to Review Differently When AI Writes the Code
• 12 Aug Fine-Tuning vs. RAG in 2026 — An Updated Decision Framework
• 11 Aug Supply Chain Security for AI Systems — Models, Packages, and Data
• 10 Aug AI-Native Database Interfaces — Beyond Text-to-SQL
• 09 Aug Real-Time Agents — Latency Patterns for Interactive AI Systems
• 08 Aug Agent Swarms vs. Single Powerful Agents — When Each Architecture Makes Sense
• 07 Aug Long-Context Strategies for Large Codebases — When the Repo Won't Fit
• 06 Aug Multimodal Agents — Using Vision + Code for UI Automation and Testing
• 05 Aug Technical Leadership in the Age of AI Agents — What Changes, What Doesn't
• 04 Aug Hiring for AI-Native Engineering Skills in 2026
• 03 Aug Knowledge Management in AI-First Teams — Staying Current Without Burning Out
• 02 Aug The Engineering Manager's Guide to AI Agent Deployment
• 01 Aug Measuring AI Engineering Productivity — The Metrics That Actually Matter
• 31 Jul The AI Platform Engineering Team — A New Organisational Function
• 31 Jul SDD in Practice — Claude Code and GitHub Copilot as Spec Executors
• 30 Jul Spec-Driven Development at Enterprise Scale — Adoption Patterns That Work
• 30 Jul Compliance Automation with AI Agents — Audit Trails, Policy Checks, and Evidence Collection
• 29 Jul OpenSpec — An Open Standard for Machine-Readable AI Specifications
• 29 Jul AI-Assisted Security Scanning — Beyond SAST
• 28 Jul Prompt Injection Defences In Depth — 2026 Attack Patterns and Mitigations
• 28 Jul The BMAD Method — Structured Multi-Agent Development with AI
• 27 Jul Technical Debt in AI-Generated Codebases — What It Looks Like and How to Manage It
• 27 Jul GitHub Speckit — Spec-First Development in the Copilot Ecosystem
• 26 Jul Testing Non-Deterministic Systems — Strategies That Actually Work
• 26 Jul AWS Kiro — The IDE Built Around Specs, Not Prompts
• 25 Jul Spec-Driven Development — Why Specs Are the New Source of Truth
• 25 Jul AI Code Review at Scale — Moving Beyond the Single-File Review
• 24 Jul Agent Incident Response — When Your AI System Goes Wrong
• 23 Jul Multi-Tenant AI Infrastructure — Isolation, Quotas, and Cost Attribution
• 22 Jul Building an Internal LLM Gateway — Control, Cost, and Compliance
• 21 Jul Agent Sandboxing — Isolation Patterns for Safe Tool Execution
• 20 Jul Semantic Caching — Cutting AI Costs Without Cutting Quality
• 19 Jul Debugging Production Agents — Reading the Trace
• 18 Jul Agent-to-Agent Negotiation — Coordination Without a Central Planner
• 17 Jul Spec-Driven Development — Writing Specs That AI Agents Can Execute
• 16 Jul Self-Healing CI — Agentic Pipelines That Fix Their Own Failures
• 15 Jul Autonomous PR Agents — How to Review Code When AI Opens the PR
• 14 Jul MCP Goes Stateless — What the July 2026 RC Means for Your Stack
• 13 Jul Beyond Vibe Coding — What AI-Native Engineering Actually Looks Like
• 12 Jul Context Engineering — The Discipline That Replaced Prompt Engineering
• 11 Jul Harness Engineering — Building the AI Control Plane
• 10 Jul Where Agentic AI Goes Next — The Honest View
• 09 Jul Open-Source vs Commercial Models — The 2026 Decision
• 08 Jul The Reasoning Model Revolution — Beyond Next-Token Prediction
• 07 Jul CrewAI for Enterprise Multi-Agent Workflows
• 06 Jul Building Production Agents with LangGraph — A Hands-On Walkthrough
• 05 Jul Scaling Agentic Systems — Cost, Latency, and Reliability
• 04 Jul Observability for Complex Agentic Systems
• 03 Jul Evaluating Agent Quality at Production Scale
• 02 Jul EU AI Act for Engineers — What You Actually Need to Do
• 01 Jul Agent Containment — Controlling Blast Radius in Autonomous Systems
• 30 Jun Prompt Injection in Production Agents — Attack Patterns and Defences
• 29 Jun The 62% Problem — Security Flaws in AI-Generated Code
• 28 Jun Tool Orchestration at Scale — Beyond Simple Function Calling
• 27 Jun Long-Term Memory Patterns for Production Agents
• 26 Jun Multi-Model Orchestration — SLM + LLM Hybrid Architectures
• 25 Jun Reasoning Models for Agents — When Thinking Tokens Are Worth It
• 24 Jun Computer Use Agents — The New Agentic Paradigm
• 23 Jun Stateful Agents — Managing State in Production
• 22 Jun Evaluating RAG Pipelines — The Metrics That Matter
• 21 Jun Chunking Strategies That Actually Work in Production RAG
• 20 Jun Vector Databases in 2026 — Which to Use and When
• 19 Jun Context Window Management in Production Agents
• 18 Jun RAG vs Fine-Tuning — The Hybrid Answer in 2026
• 17 Jun RAG in Production — Beyond the Basics
• 16 Jun The LLM Pricing Collapse — How $0.10/Million Tokens Changes Architecture
• 15 Jun The 13% Problem — Why Enterprise AI Adoption Is Failing
• 14 Jun LangGraph vs CrewAI — Picking the Right Agent Framework in 2026
• 14 Jun Fable 5 Launched. The Government Killed It Three Days Later.
• 13 Jun A2A Protocol — Agent-to-Agent Communication at Enterprise Scale
• 12 Jun MCP Explained — The Protocol That Connects AI to Everything
• 11 Jun The Model Wars Are Over — What Model Convergence Means for Engineers
• 10 Jun Production Agentic AI — Engineering for Scale: 30-Day Plan
• 09 Jun One Year of Building an AI-First Team — What I Learned
• 09 Jun Future-Proofing Your AI Toolchain Against Pricing Changes
• 08 Jun What Doesn't Change — The Human Core of Great Engineering
• 08 Jun Copilot vs. Alternatives — Does the New Pricing Change the Build-vs-Buy Equation?
• 07 Jun Measuring ROI and Making the Business Case for AI
• 07 Jun Calculating Copilot ROI Under the New Pricing — The Honest Maths
• 06 Jun Security, IP, and Compliance in an AI-First Team
• 06 Jun Copilot Cost Governance for Enterprise Teams — Controls That Don't Kill Adoption
• 05 Jun Scaling AI Adoption Across a Larger Engineering Org
• 05 Jun Which Copilot Feature for Which Task — A Decision Framework
• 04 Jun Prompt Patterns That Cut Copilot Costs Without Cutting Value
• 04 Jun Enterprise AI Governance for Engineering Teams
• 03 Jun Avoiding Over-Reliance and the Skill Atrophy Problem
• 03 Jun Auditing Your Copilot Usage Before the Bill Arrives
• 02 Jun Learning and Upskilling in an AI-First Culture
• 02 Jun GitHub Copilot's New Pricing Model — The Token Economy Problem and How to Navigate It
• 01 Jun Hiring for an AI-First Engineering Team
• 31 May The AI-Skeptic on Your Team — How to Bring Them Along
• 30 May Senior Engineers in an AI-First Team — What Seniority Means Now
• 29 May Junior Engineers in an AI-First Team — Different, Not Lesser
• 28 May Cross-Functional Communication — PMs, Designers, and AI Engineers
• 27 May AI-Assisted Incident Response — When Production Breaks
• 26 May Knowledge Transfer and Institutional Memory with AI
• 25 May Onboarding New Engineers into an AI-First Codebase
• 24 May Architecture Decisions with AI — ADRs, Design Reviews, and Technical Debt
• 23 May Documentation Culture in an AI-First Team — Better or Worse?
• 22 May AI in the CI/CD Pipeline — Automated Quality Gates
• 21 May Testing in an AI-First Team — Trust, Verification, and Coverage
• 20 May AI-First Pull Request and Commit Hygiene
• 19 May Code Review Culture When AI Writes the Code
• 18 May Writing Code as a Team with AI — Pair Programming Norms
• 17 May AI-First Sprint Planning and Task Breakdown
• 16 May Measuring Progress — What Metrics Actually Matter for an AI-First Team
• 15 May AI-First Team Culture: Norms, Expectations, and Psychological Safety
• 14 May Rethinking Team Roles in an AI-First World
• 13 May The Full AI Toolchain for Engineering Teams
• 12 May The AI-First Team Maturity Model — Where Is Your Team Today?
• 11 May What Does 'AI-First Engineering Team' Actually Mean?
• 10 May The AI-First Engineering Team — 30-Day Blog
• 09 May 30 Days Done — What I Learned, What Changed, What's Next
• 08 May Multi-Agent Debugging and Observability — Staying Sane
• 07 May Connecting Copilot Studio Agents to Enterprise Systems
• 06 May Designing Multi-Agent Workflows in Copilot Studio
• 05 May Microsoft Copilot Studio for Developers — What You Need to Know
• 04 May Evaluating Coding Agent Quality — Beyond 'Did It Run?'
• 03 May Multi-Step Coding Agents — Patterns and Failure Modes
• 02 May Agent Memory and Context Management — The Hard Part
• 01 May Tool Use in AI Agents — Patterns That Work in Production
• 30 Apr Building Your First Coding Agent — A Practical Walkthrough
• 29 Apr What Makes a Good Coding Agent — Design Principles
• 28 Apr GitHub Copilot in Enterprise Governance Frameworks
• 27 Apr Copilot Workspace — Hands-On with Agentic GitHub Copilot
• 26 Apr Copilot for PR Descriptions, Docs, and Commit Messages
• 25 Apr GitHub Copilot for Test Generation — Does It Actually Work?
• 24 Apr Writing Better Prompts for GitHub Copilot in VS Code
• 23 Apr GitHub Copilot Beyond Autocomplete — The Features Most Engineers Miss
• 22 Apr Claude Code in Regulated Environments — A Security-First Look
• 21 Apr Integrating Claude Code into CI/CD Pipelines
• 20 Apr Claude Code for Code Reviews at Scale
• 19 Apr Prompt Engineering for Coding Tasks — What Actually Works
• 18 Apr Claude CoWork — Async AI Pair Programming in Practice
• 17 Apr Claude Code for Legacy Code Modernisation
• 16 Apr Setting Up Claude Code for Enterprise Teams
• 15 Apr 11 Years In, AI-Augmented — How My Workflow Actually Changed
• 14 Apr Choosing Your AI Toolchain — Claude Code, Copilot, or Copilot Studio?
• 13 Apr Agent Skills 101 — Building Blocks of Useful AI Agents
• 12 Apr The Agentic AI Mental Model Every Engineer Needs
• 11 Apr AI in the SDLC — The Honest State of Things in 2026
• 10 Apr Why I'm Writing 30 Days of AI Engineering
• 09 Apr GitHub Copilot
• 09 Apr GenAI
• 09 Apr Claude Code
• 09 Apr AI in SDLC
• 09 Apr Agentic AI
• 09 Apr Agent Skills
• 09 Apr 30 Days of AI Engineering — My Content Plan as a Lead AI Engineer