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- Open-Source vs Commercial Models — The 2026 Decision
- The Reasoning Model Revolution — Beyond Next-Token Prediction
- CrewAI for Enterprise Multi-Agent Workflows
- Building Production Agents with LangGraph — A Hands-On Walkthrough
- Scaling Agentic Systems — Cost, Latency, and Reliability
- Observability for Complex Agentic Systems
- Evaluating Agent Quality at Production Scale
- EU AI Act for Engineers — What You Actually Need to Do
- Agent Containment — Controlling Blast Radius in Autonomous Systems
- Prompt Injection in Production Agents — Attack Patterns and Defences
- The 62% Problem — Security Flaws in AI-Generated Code
- Tool Orchestration at Scale — Beyond Simple Function Calling
- Long-Term Memory Patterns for Production Agents
- Multi-Model Orchestration — SLM + LLM Hybrid Architectures
- Reasoning Models for Agents — When Thinking Tokens Are Worth It
- Computer Use Agents — The New Agentic Paradigm
- Stateful Agents — Managing State in Production
- Evaluating RAG Pipelines — The Metrics That Matter
- Chunking Strategies That Actually Work in Production RAG
- Vector Databases in 2026 — Which to Use and When
- Context Window Management in Production Agents
- RAG vs Fine-Tuning — The Hybrid Answer in 2026
- RAG in Production — Beyond the Basics
- The LLM Pricing Collapse — How $0.10/Million Tokens Changes Architecture
- The 13% Problem — Why Enterprise AI Adoption Is Failing
- LangGraph vs CrewAI — Picking the Right Agent Framework in 2026
- Fable 5 Launched. The Government Killed It Three Days Later.
- A2A Protocol — Agent-to-Agent Communication at Enterprise Scale
- MCP Explained — The Protocol That Connects AI to Everything
- The Model Wars Are Over — What Model Convergence Means for Engineers
- Production Agentic AI — Engineering for Scale: 30-Day Plan
- One Year of Building an AI-First Team — What I Learned
- Future-Proofing Your AI Toolchain Against Pricing Changes
- What Doesn't Change — The Human Core of Great Engineering
- Copilot vs. Alternatives — Does the New Pricing Change the Build-vs-Buy Equation?
- Measuring ROI and Making the Business Case for AI
- Calculating Copilot ROI Under the New Pricing — The Honest Maths
- Security, IP, and Compliance in an AI-First Team
- Copilot Cost Governance for Enterprise Teams — Controls That Don't Kill Adoption
- Scaling AI Adoption Across a Larger Engineering Org
- Which Copilot Feature for Which Task — A Decision Framework
- Prompt Patterns That Cut Copilot Costs Without Cutting Value
- Enterprise AI Governance for Engineering Teams
- Avoiding Over-Reliance and the Skill Atrophy Problem
- Auditing Your Copilot Usage Before the Bill Arrives
- Learning and Upskilling in an AI-First Culture
- GitHub Copilot's New Pricing Model — The Token Economy Problem and How to Navigate It
- Hiring for an AI-First Engineering Team
- The AI-Skeptic on Your Team — How to Bring Them Along
- Senior Engineers in an AI-First Team — What Seniority Means Now
- Junior Engineers in an AI-First Team — Different, Not Lesser
- Cross-Functional Communication — PMs, Designers, and AI Engineers
- AI-Assisted Incident Response — When Production Breaks
- Knowledge Transfer and Institutional Memory with AI
- Onboarding New Engineers into an AI-First Codebase
- Architecture Decisions with AI — ADRs, Design Reviews, and Technical Debt
- Documentation Culture in an AI-First Team — Better or Worse?
- AI in the CI/CD Pipeline — Automated Quality Gates
- Testing in an AI-First Team — Trust, Verification, and Coverage
- AI-First Pull Request and Commit Hygiene
- Code Review Culture When AI Writes the Code
- Writing Code as a Team with AI — Pair Programming Norms
- AI-First Sprint Planning and Task Breakdown
- Measuring Progress — What Metrics Actually Matter for an AI-First Team
- AI-First Team Culture: Norms, Expectations, and Psychological Safety
- Rethinking Team Roles in an AI-First World
- The Full AI Toolchain for Engineering Teams
- The AI-First Team Maturity Model — Where Is Your Team Today?
- What Does 'AI-First Engineering Team' Actually Mean?
- The AI-First Engineering Team — 30-Day Blog
- 30 Days Done — What I Learned, What Changed, What's Next
- Multi-Agent Debugging and Observability — Staying Sane
- Connecting Copilot Studio Agents to Enterprise Systems
- Designing Multi-Agent Workflows in Copilot Studio
- Microsoft Copilot Studio for Developers — What You Need to Know
- Evaluating Coding Agent Quality — Beyond 'Did It Run?'
- Multi-Step Coding Agents — Patterns and Failure Modes
- Agent Memory and Context Management — The Hard Part
- Tool Use in AI Agents — Patterns That Work in Production
- Building Your First Coding Agent — A Practical Walkthrough
- What Makes a Good Coding Agent — Design Principles
- GitHub Copilot in Enterprise Governance Frameworks
- Copilot Workspace — Hands-On with Agentic GitHub Copilot
- Copilot for PR Descriptions, Docs, and Commit Messages
- GitHub Copilot for Test Generation — Does It Actually Work?
- Writing Better Prompts for GitHub Copilot in VS Code
- GitHub Copilot Beyond Autocomplete — The Features Most Engineers Miss
- Claude Code in Regulated Environments — A Security-First Look
- Integrating Claude Code into CI/CD Pipelines
- Claude Code for Code Reviews at Scale
- Prompt Engineering for Coding Tasks — What Actually Works
- Claude CoWork — Async AI Pair Programming in Practice
- Claude Code for Legacy Code Modernisation
- Setting Up Claude Code for Enterprise Teams
- 11 Years In, AI-Augmented — How My Workflow Actually Changed
- Choosing Your AI Toolchain — Claude Code, Copilot, or Copilot Studio?
- Agent Skills 101 — Building Blocks of Useful AI Agents
- The Agentic AI Mental Model Every Engineer Needs
- AI in the SDLC — The Honest State of Things in 2026
- Why I'm Writing 30 Days of AI Engineering
- GitHub Copilot
- GenAI
- Claude Code
- AI in SDLC
- Agentic AI
- Agent Skills
- 30 Days of AI Engineering — My Content Plan as a Lead AI Engineer