Architectural AI Digest

AI-Driven Modernization Patterns

• 🔥 From Monolith to AI Agent: Theo Lebrun's Devnexus 2026 session details using Model Context Protocol (MCP) to...

Mid-sized teams can evolve monoliths toward agentic AI without full rewrites by layering MCP integration and event-driven automation.

• MCP...

Stelia CTO Dave Hughes delivered practical takeaways on hosting and delivering AI/ML models at scale, with specific tailoring for domains like media...

In a live demo on a broken URL shortener microservices app, Honeycomb's AI agents and BubbleUp instantly surfaced root causes that would otherwise...

Production agentic systems demand more than popular frameworks—they need underrated tools paired with evolved microservices.

• Framework selection:...

A large object-oriented monolith can be migrated to microservices via an intermediate modular monolith stage that lets teams first define clear module...

Frontend apps hitting microservices directly expose internal IPs, multiply latency, and create major security risks. The API Gateway pattern acts as...

AI-Assisted Legacy Migration Case Studies

• 🔥 Dutch IRS Microservices Migration: The Dutch IRS team migrated a mainframe monolith to Kubernetes...

AI defaults to average patterns from its training data, missing the statistically improbable choices that define strong systems.

• Past-tense...

Multi-agent systems in production demand deliberate memory architectures to manage shared context across agents.

• Memory design: Infrastructure for...

The Dutch IRS migrated a mainframe monolith to Kubernetes microservices using AI-assisted coding tools to remove anti-patterns, boost throughput, and...

• Flat two-way orchestration enables peer agents to ping, prompt, and respond bidirectionally across devices, outperforming hierarchies for real...

Real-time AI reliability in banking, manufacturing, and logistics depends far more on streaming pipeline design than on model accuracy alone.

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Many engineering teams adopt microservices too early, driven by industry perception that monoliths are outdated rather than by genuine architectural...

Storing every change as an immutable event, like entries in a bank statement, preserves full history far better than CRUD approaches that only keep...

Reranking models, referred to as rerankers or cross-encoders, compute a relevance score between two pieces of text to improve retrieval quality when integrated as a microservice in AI-powered applications.

Generative AI is evolving from basic code completion tools into technology deeply embedded inside engineering workflows themselves. For architects,...

AI Agents for Production Incident Resolution

• 🔥 We Built an AI SRE Team to Auto-Fix Production Incidents: Describes a multi-agent system with...

Use an LLM to generate a modern equivalent while preserving the exact same interface, then deploy it behind a feature flag that routes just 1% of...

SPECLAN closes the costly gap between a bare customer wish and shipped code by letting architects draft plain Markdown specs that AI agents like...