Thoughts &amp; Updates

The WASM Security Firewall Pattern: Architecting Safe AI Agent Execution Environments

Using WebAssembly as a security boundary for AI agents. Implementation patterns, performance considerations, and lessons from production deployments.

Jan 13, 20268 min

ArchitectureAI Agents+1

Why Prompt Engineering Won't Fix Your AI Agent Architecture

A critical look at why architectural decisions matter more than perfect prompts when building production AI agents.

Jan 12, 20266 min

ArchitectureStrategy+1

IntegrationArchitecture+1

MCP vs Traditional APIs: When to Choose Model Context Protocol for AI Integration

Compare MCP with REST and GraphQL. Learn when to use Model Context Protocol for AI agents and when traditional APIs remain the better choice.

Jan 11, 20266 min

Claude's New MCP Integration: Game-Changer or Overhyped?

Breaking down MCP's practical impact on AI agent development. We separate the hype from what actually matters for building production systems.

Jan 10, 20264 min

AI AgentsOpinion+1

Anthropic Blocks Third-Party Claude Code Access: What This Means for Development Teams

Anthropic restricts third-party Claude Code access. Learn what changed, why it matters, and how development teams can adapt their workflows.

Jan 9, 20265 min

UpdatesStrategy+1

Structural Code Search for AI Agents: Mantic.sh's Approach to Code Discovery

How Mantic.sh's structural code search engine solves context retrieval challenges for AI agents building automation at scale.

Jan 8, 20265 min

DevelopmentAI Agents+1

AI Error Messages Nobody Understands

Users don't know what 'context window exceeded' means. Learn how to translate technical AI failures into actionable guidance.

Jan 7, 20266 min

AIUX+1

Claude vs OpenAI GPT for Building AI Agents: A Developer's Complete Comparison

Compare Claude and GPT for building AI agents. Analyze pricing, context windows, tool use, and real-world performance to pick the right foundation for your next agent project.

Jan 7, 20267 min

AI AgentsDevelopment+1

The Silent Revolution in Enterprise AI

How AI is quietly transforming enterprise operations without the hype. Real patterns from production deployments.

Jan 7, 20266 min

AIEnterprise+1

Building Production AI Agents: Lessons from the Trenches

Real-world patterns for deploying AI agents at scale—architecture decisions, failure modes, and operational insights that separate working systems from demos.

Jan 7, 202610 min

AIAgents+1

Anthropic's MCP Protocol: The Game-Changer Making Claude AI Agents Actually Useful

MCP standardizes how Claude connects to external systems. Here's why it matters for building production AI agents.

Jan 6, 20265 min

AI AgentsIntegration+1

Building a Content Agent That Writes Like You

How I built an AI writing agent that maintains my voice using voice adaptation, example-based learning, and quality validation.

Jan 6, 20264 min

AI AgentsCase Study+1

The Complete Guide to Building AI Agents: From Concept to Production

A comprehensive guide to designing, building, and deploying AI agents that work in production. From foundational concepts to advanced patterns.

Dec 30, 202518 min

AI AgentsArchitecture+1

Multi-Agent Systems: When One LLM Isn't Enough

Breaking complex tasks across specialized agents. Architecture patterns, coordination strategies, and when the complexity is worth it.

Dec 23, 20255 min

AI AgentsArchitecture+1

StrategyDecision Making+1

When Not to Use AI: A Decision Framework

A practical framework for deciding when traditional software beats AI—and when it doesn't. Sometimes the best solution is no AI at all.

Dec 16, 20256 min

The Evals Problem: Measuring What Matters

Most AI evals measure the wrong things. How to build evaluation frameworks that actually predict production performance.

Dec 9, 20257 min

TestingLLMs+1

The Hidden Cost of AI Wrapper Products

Why thin AI wrappers fail and what makes a defensible AI product: integration layers, domain expertise, and workflow automation.

Dec 2, 20253 min

StrategyEnterprise+1

Building Reliable AI Tools

Code patterns and architecture decisions that make AI agents actually work in production.

Nov 25, 20253 min

DevelopmentTutorial+1

IntegrationArchitecture+1

The Integration Layer Nobody Talks About

Why the boring parts of AI systems—auth, rate limits, error handling—determine success more than the model itself.

Nov 18, 20253 min

Why Most AI Projects Fail (And How to Fix It)

The model isn't the bottleneck—workflow, integrations, and governance are. Here's what I've learned shipping AI systems that actually work.

Nov 11, 20254 min

EnterpriseStrategy+1