// Topics / AI and Systems Architecture
AI and Systems Architecture
Architecture is the set of decisions that become expensive to change later. In AI systems, those decisions usually sit around model access, retrieval, evaluation, data freshness, cost control, and ownership boundaries.
This hub connects AI architecture with older systems lessons: keep interfaces small, make failure modes explicit, and avoid distributing complexity before the team can operate it.
Start Here
- AI-Native Architecture Patterns 2026 is the current overview of gateways, retrieval, evaluation, and graceful degradation.
- Why Most Enterprise AI Architecture Fails in Year One explains why brittle demos fail when they become production systems.
- Your AI Infrastructure Is Not Special maps AI infrastructure back to ordinary production patterns: gateways, caching, budgets, and circuit breakers.
Architecture Questions That Matter
Before adding another model, service, or queue, answer these:
- Where is the stable interface between product code and model behavior?
- How is context assembled, filtered, and refreshed?
- Which validation path catches bad output before users rely on it?
- What happens when the preferred model is slow, unavailable, expensive, or wrong?
- Who owns incidents caused by model, retrieval, or data drift?
Supporting Patterns
Retrieval and context:
Agents and tools:
- Building Reliable AI Agents in Go
- Agent Orchestration: Four Patterns, Honest Tradeoffs
- MCP in Practice: Building Tool Servers in Go
Older systems tradeoffs:
Failure Modes
- Letting prompts become hidden architecture.
- Hard-coding provider behavior three layers deep.
- Treating retrieval as a static index instead of a living data pipeline.
- Running AI features without cost attribution, evaluation, and rollback paths.
Related Hubs
References
89 entries tagged “AI and Systems Architecture”
- Power Belongs on the AI Roadmap
· 3 min
Power, not models or GPUs, is the binding constraint. Treat energy and capacity as roadmap dependencies with real lead times.
ai
architecture
strategy
Regulatory Divergence Is a Routing Problem
· 4 min
One global AI policy is wrong in every market. Tag requests by jurisdiction, data class, and user type, then route policy like cost and capability.
governance
ai
privacy
Reliability Is the Autonomy Ceiling
· 4 min
Capability earns the demo; measured reliability earns the autonomy. Budget autonomy by failure cost times failure rate.
ai
reliability
operations
Your Vendor's Balance Sheet Is Your Risk
· 4 min
Integrate a model vendor and you inherit their balance sheet. Subsidized pricing is a repricing waiting to become your outage—price solvency as a dependency.
strategy
ai
cost
Agent Identity Is the New Control Plane
· 4 min
An agent that acts needs an identity—scoped, short-lived, attributable, revocable—not a shared API key.
ai
reliability
security
Agentic Systems at Scale: The New Reliability Contract
· 4 min
Agentic systems need SRE-style reliability contracts with explicit blast-radius limits, fallback paths, and kill switches.
ai
reliability
operations
The AI Strategy Stack: What Boards Mistake for Moats
· 4 min
Most AI moat claims are distribution theater; durable moats come from routing economics, proprietary workflow data, and operational reliability.
strategy
ai
executive
The Executive Case for Local-First AI Infrastructure
· 3 min
Local-first AI is not ideology. It is control over placement, margin, latency, and failure modes.
ai
architecture
cost
How to Run an AI Incident Review That Changes Architecture, Not Slides
· 2 min
Incident reviews should produce architecture deltas and control updates, not narrative theater.
reliability
ai
governance
Build the System the Model Cannot Break
· 12 min
A manifesto for building AI-native organizations. Twelve tenets across strategy, architecture, economics, and people — and the only test that matters in year two.
opinion
ai
strategy
The 2026 AI Build vs. Buy Calculus (It’s Just Operational Cost)
· 3 min
By mid-2026, AI build vs buy has nothing to do with novelty. It is a ruthless mathematical calculation of telemetry, context freshness, and infrastructure lock-in.
strategy
ai
architecture
Why Most Enterprise AI Architecture Fails in Year One
· 3 min
In 2026, enterprise AI isn't failing because models are bad. It is failing because organizations are building brittle demos instead of bounded, operable systems.
architecture
ai
reliability
Sovereign Systems: Building for a World Where Data Privacy Is Non-Optional
· 6 min
Privacy is an architecture constraint, not a feature toggle. Building sovereignty in early avoids painful retrofits and closes enterprise deals faster.
privacy
security
compliance
AI Team Structures 2026: Central, Embedded, and Hybrid Models
· 8 min
A practical guide to central, embedded, and hybrid AI team structures, with roles, tradeoffs, and scaling rules.
teams
ai
architecture
AI-Native Architecture Patterns 2026: Production Guide
· 7 min
Production AI architecture patterns for gateways, retrieval, evaluation, fallbacks, cost control, and ownership.
architecture
ai
engineering
Scaling AI in the Enterprise Is a Management Problem
· 4 min
The pilots work. What fails is going from five demos to fifty production features without an operating model. That's a management problem, not an AI problem.
business
ai
architecture
Agent Orchestration: Four Patterns, Honest Tradeoffs
· 5 min
Multi-agent systems are distributed systems with the usual coordination headaches. The four patterns I've seen work, and when each one falls apart.
agents
ai
architecture
MCP in Practice: Building Tool Servers in Go
· 7 min
Model Context Protocol promises to standardize how AI talks to tools. I built an MCP server in Go to see if the promise holds up. Here's what I found.
agents
ai
go
Your AI Infrastructure Is Not Special
· 4 min
AI infrastructure at scale is just infrastructure. The same boring patterns -- gateways, caching, circuit breakers, budgets -- solve the same boring problems.
ai
infrastructure
architecture
Agent Patterns That Survive Production
· 7 min
Single-prompt agents break on real tasks. Plan-execute-replan, orchestrated specialists, structured memory, and explicit recovery are what survive -- in Go.
agents
ai
go
The Best Model Is the Smallest One That Works
· 3 min
Everyone reaches for GPT-4 by default. Most production tasks don't need it. Small models are faster, cheaper, and often better when the task is well-defined.
llm
ai
performance
Stop Stuffing Your Context Window
· 4 min
Bigger context windows aren't an excuse to stop thinking about what goes into them. Most teams are paying for irrelevant tokens and wondering why quality degrades.
llm
ai
architecture
GPT-4o Changed the Interface, Not the Hard Part
· 4 min
OpenAI shipped a model that sees, hears, and talks back in real time. The demos look magical. The architecture implications are where it gets interesting.
llm
architecture
ai
LLM Structured Output in Go: JSON Schema, Validation, Retries
· 7 min
How to get reliable JSON from LLMs in Go with schemas, validation, repair loops, and typed contracts.
llm
api
go
Why I Run Multiple Models in Production
· 4 min
Betting on a single model provider is like having a single database with no failover. Here is why multi-model is the only sane production strategy.
ai
architecture
llm
Architecting AI-Native Applications (Without the Delusion)
· 7 min
AI-native apps are fundamentally different from a model bolted onto a CRUD app. How I structure them -- with code, layers, and hard-won opinions.
architecture
ai
engineering
Your AI Infrastructure Is Not Ready for Scale. Neither Is Mine.
· 4 min
GPU shortage is real, rate limits are a production constraint, and your AI demo will collapse under real traffic. Annoyed thoughts on infrastructure realism.
ai
infrastructure
architecture
OpenAI DevDay Happened and I Have Opinions
· 4 min
OpenAI DevDay was not just a product launch. It was a platform play that changes the build-vs-buy calculus for every team shipping AI features.
llm
ai
architecture
Agent Architecture Patterns That Actually Work in Production
· 6 min
Most agent demos are impressive. Most agent production systems are not. Here is what separates the two.
ai
agents
llm
RAG Patterns That Actually Work in Production
· 8 min
RAG is the default architecture for grounding LLMs in private data. Here are the patterns that survive real traffic, with Go examples from production systems.
llm
ai
go
My First Week Building with GPT-4
· 4 min
GPT-4 landed and everything changed. What I learned in the first week of building with it, and the architecture decisions that followed.
ai
llm
architecture
LLM Integration Patterns That Actually Survive Production
· 6 min
Practical patterns for integrating LLMs into real applications -- prompt management, structured outputs, caching, fallbacks, and tool use -- with Go examples.
ai
llm
go
Monorepo vs. Polyrepo: A Practical Decision Guide
· 4 min
Monorepo or polyrepo depends on coupling, team shape, and your appetite for build tooling. Here is how to decide without getting religious about it.
architecture
development
developer-experience
Go Concurrency Patterns I Use in Every Service
· 7 min
Worker pools, fan-out/fan-in, pipelines, and the cancellation discipline that keeps Go services predictable under load.
go
architecture
backend
When to Go Async (And When to Resist the Urge)
· 5 min
Async solves real problems -- bursty traffic, slow dependencies, decoupled teams -- but the complexity tax is real. Event-driven lessons from Decloud.
architecture
Rate Limiting: The Boring Feature That Saves You at 3 AM
· 4 min
Rate limiting algorithms, implementation tradeoffs, and practical lessons from building limiters for high-traffic APIs at a real-time messaging company.
api
backend
go
Distributed Systems Patterns I Keep Reaching For
· 6 min
The patterns that actually survive production across failure handling, consistency, messaging, coordination, and scaling.
distributed-systems
architecture
microservices
TypeScript: A Go Developer's Honest Take
· 4 min
TypeScript is the best thing to happen to JavaScript. That bar is lower than people think. Here's what actually matters for large codebases.
engineering
architecture
go
You Probably Don't Need a Service Mesh
· 5 min
Service meshes solve real problems at real scale. But most teams adopt them before the problems exist. Here's how to decide honestly.
kubernetes
architecture
API Versioning: Pick One and Stop Overthinking It
· 4 min
API versioning is a maintenance commitment, not a design exercise. URL paths for public APIs, headers for internal. The real work is avoiding breaking changes.
api
architecture
backend
The AWS us-east-1 Outage Was Predictable. Your Architecture Was Not Ready.
· 4 min
December 7 reminded everyone that us-east-1 is a single point of failure for half the internet. Again. I am annoyed.
cloud
incident-management
reliability
Event Sourcing in Practice: What I Learned Building Financial Event Pipelines
· 7 min
Event sourcing is powerful but expensive to get wrong. Here's what actually works, with Go code, drawn from building event pipelines at the fintech startup.
architecture
go
Most 'Technical Debt' Is Just Decisions You Disagree With Now
· 4 min
The term 'technical debt' has become meaningless. Everything inconvenient is debt. Here's what it actually is, when it matters, and why most teams handle it wrong.
technical-debt
leadership
architecture
Feature Flags at Scale: What Nobody Warns You About
· 5 min
Feature flags are great until you have 847 of them and nobody knows which ones are safe to remove. Practical lessons from Decloud and enterprise teams.
ci-cd
devops
go
Zero Trust Architecture: What It Actually Looks Like
· 6 min
Zero trust from two angles: national cyber-defense systems and a major telecom. The architecture patterns, implementation path, and what most companies get wrong.
security
architecture
infrastructure
Most Teams Should Just Use Postgres
· 3 min
Serverless databases are solving problems most teams don't have. Here's why Postgres with a connection pooler is still the right answer.
cloud
databases
architecture
API Gateway Patterns That Actually Work
· 5 min
Edge gateways, BFFs, and service mesh ingress -- what I've learned running them at Decloud and at large telecoms.
api
microservices
architecture
Data Engineering Patterns: Batch vs. CDC vs. Streaming
· 6 min
A comparison of data ingestion patterns from building the fintech startup's financial data pipelines, plus when each one actually makes sense.
data
metrics
architecture
Multi-Cloud Is Mostly a Marketing Strategy
· 4 min
Multi-cloud sounds great in vendor pitches. In practice, it doubles your operational burden for benefits most teams will never need.
cloud
architecture
infrastructure
API Gateways: Build, Buy, or Regret
· 6 min
I've built a custom Go gateway, run Kong in prod, evaluated Envoy, and used managed cloud gateways. What I recommend after doing each wrong at least once.
api
go
kubernetes
GraphQL Federation Is Probably Not For You
· 4 min
Most teams adopting GraphQL federation don't need it. When it makes sense, when REST is fine, and why conference talks are a bad basis for architecture.
api
architecture
opinion
Event-Driven Architecture: What I Got Wrong and What Survived
· 10 min
Lessons from building event-driven systems at the fintech startup and Decloud: what works, what silently corrupts your data, and Go patterns that hold up.
architecture
go
distributed-systems
Serverless vs Containers: Where the Math Stops Working
· 5 min
Serverless is great until it isn't. A comparison of serverless and containers at different traffic scales, with actual numbers on where the economics flip.
cloud
containers
architecture
Your Team Isn't Remote. It's Just on Zoom.
· 3 min
Most teams claiming to work remotely are just recreating the office over video calls. Async communication is the actual unlock, and almost nobody is doing it right.
remote-work
architecture
leadership
Your Video Infrastructure Isn't Ready for What's Coming
· 6 min
Most companies building video calling are making the same architecture mistakes. What I keep seeing, and how to fix it before your SFUs fall over.
llm
infrastructure
architecture
I Tried Every API Versioning Strategy. Here's the One I Actually Use.
· 5 min
After versioning messes at multiple companies, I landed on URL path versioning for anything public. The alternatives didn't survive contact with reality.
api
architecture
Database Replication Patterns That Actually Matter
· 8 min
A practical breakdown of replication modes, topologies, and the tradeoffs between consistency, availability, and not losing your users' data at 3am.
databases
distributed-systems
architecture
Your Cloud Bill Is a Design Document
· 6 min
Cloud cost management isn't a finance problem. It's an architecture problem disguised as a spreadsheet. Treat your AWS bill as the engineering signal it is.
cost
cloud
architecture
Most Edge Computing Projects Are Premature Optimization
· 3 min
Edge computing is real, but most teams adopting it don't have an edge problem. They have an architecture problem they're solving with geography.
infrastructure
architecture
distributed-systems
Message Queues: The Patterns Nobody Tells You About Until 3 AM
· 8 min
Queues look simple on a whiteboard. Then you deploy them. The messaging patterns I've learned the hard way across three startups, with real failure stories.
architecture
go
backend
Data Mesh Is an Org Chart Fix, Not a Tech One
· 3 min
Most data problems are ownership problems. Data mesh gets that right. But adopting it as an architecture diagram exercise misses the point entirely.
data
architecture
engineering
Your Monolith Is Probably Fine
· 5 min
Most teams shouldn't be migrating to microservices. Here's how to tell if you actually should, and how to do it without wrecking your delivery for eighteen months.
microservices
architecture
go
You Probably Don't Need Multi-Region
· 5 min
Multi-region is a commitment most teams make too early. When it actually pays off, the patterns that work, and why data is the part that ruins your week.
architecture
cloud
distributed-systems
Design for Failure or It Will Design Your Weekend
· 3 min
Failure is not an edge case but the default state you hold off with good engineering. Hard-won rules for systems that bend instead of shatter.
reliability
architecture
distributed-systems
Async Job Processing: Patterns That Saved Us at a Fintech Startup
· 7 min
Hard-won patterns for reliable background job processing -- queues, retries, idempotency, and the failures that taught me to care about all three.
backend
architecture
reliability
What I Learned Scaling an Engineering Team
· 6 min
Lessons from growing an engineering org at the fintech startup -- what breaks, what works, and why clarity beats process every time.
engineering
leadership
teams
API Rate Limiting: What Actually Works
· 7 min
Algorithms, headers, and deployment patterns for rate limiting APIs -- drawn from building financial data services at the fintech startup.
api
backend
architecture
What Building Distributed Systems at a Fintech Startup Taught Me About Failure
· 6 min
Hard-won lessons from designing distributed systems that survive real failures -- timeouts, retries, bulkheads, and the habits that keep things running.
distributed-systems
reliability
architecture
Serverless: What Works, What Doesn't, and What Will Bite You
· 6 min
Real patterns and antipatterns from running serverless at the fintech startup. Where Lambda shines, where it hurts, and how to tell the difference.
cloud
architecture
Database Sharding: You Probably Don't Need It Yet
· 8 min
Most teams shard too early. Here's how we thought about it at the fintech startup, when it actually makes sense, and the SQL-level decisions that matter most.
databases
architecture
Securing Microservices: What Actually Works
· 7 min
You split the monolith. Now every service-to-service call is an attack surface. How I think about identity, authorization, encryption, and secrets management.
security
microservices
architecture
Event Sourcing in Practice: What I Got Right and Wrong
· 7 min
Lessons from building event-sourced systems at the fintech startup -- the patterns that held up, the modeling mistakes, and the operational realities.
architecture
distributed-systems
business
Zero Trust Is Not a Product. Here's How We Actually Built It.
· 5 min
Perimeter security is dead. How I replaced castle-and-moat at the fintech startup with zero trust — identity-first, micro-segmented, no implicit trust.
security
architecture
infrastructure
Stop Trying to Fix All Your Tech Debt
· 4 min
A two-number scoring system for tech debt that tells you what to fix now, what to schedule, and what to quietly accept.
technical-debt
engineering
strategy
Async by Default: Reducing Decision Latency in Distributed Engineering Teams
· 4 min
A practical operating model for async-first communication that reduces decision latency without sacrificing alignment.
remote-work
leadership
teams
Multi-Region Architecture: What I Wish Someone Had Told Me
· 6 min
What I learned evaluating multi-region at the fintech startup: the patterns that work, the ones that burn you, and when you should even bother.
architecture
distributed-systems
cloud
Serverless Patterns That Actually Work in Production
· 2 min
Most serverless tutorials teach you the wrong thing. Here's what matters when you're running it for real.
cloud
architecture
API Versioning: What Actually Works and What Doesn't
· 4 min
We tried multiple API versioning approaches at the fintech startup. URL path versioning won. Here's why, and how to deprecate without burning consumers.
api
architecture
How I Build Data Pipelines That Actually Survive Production
· 6 min
Every pipeline I've built at the fintech startup broke at some point. Here's the design approach that made them recoverable instead of catastrophic.
data
reliability
architecture
Why We Went Event-Driven (and What Nearly Broke)
· 5 min
Lessons from building event-driven systems at the fintech startup and a mobility startup -- what worked, what broke, and why I'd do it again.
architecture
microservices
GraphQL vs REST: Pick the Boring One
· 4 min
Everyone wants to debate GraphQL vs REST like it's a religion. It's not. One reduces round trips, the other is dead simple to cache. Here's how I actually decide.
api
architecture
Why We Chose Go for Our Backend Services
· 6 min
How Go became the default backend language at a mobility startup and a fintech startup, what it replaced, and the honest tradeoffs we accepted along the way.
go
backend
engineering
The Economics of State: Why Scaling Up Beats Sharding (Until It Doesn't)
· 8 min
A production-grounded case for exhausting single-server headroom with pooling, replicas, and partitioning before taking on sharding complexity.
databases
architecture
engineering
Building Resilient Systems: Lessons from Production Failures
· 7 min
Production incidents show where architecture bends and breaks. Lessons on designing for failure, limiting blast radius, and making recovery routine.
reliability
architecture
engineering
API Design Principles That Stand the Test of Time
· 5 min
Lessons from building a fintech financial data API: the REST conventions that actually matter, the ones that don't, and why consistency beats cleverness.
api
engineering
architecture
Postgres vs MySQL in 2016: A Practical Comparison
· 5 min
A grounded look at PostgreSQL and MySQL as of April 2016, focusing on integrity, query power, and operational tradeoffs rather than benchmark hype.
databases
architecture
engineering
AWS Lambda: When Serverless Makes Sense (And When It Doesn't)
· 4 min
Lambda is a sharp tool for specific jobs. The problem is everyone wants to use it for everything.
cloud
architecture
The True Cost of Technical Debt
· 3 min
A pragmatic look at technical debt: how it shows up, how to measure it, and how to make a business case for paying it down without stalling delivery.
technical-debt
engineering
leadership
Why Microservices Aren't Always the Answer
· 5 min
Most teams adopt microservices too early and pay for complexity they don't need yet. A well-structured monolith is faster, simpler, and keeps your options open.
architecture
microservices
startups