Software Design and Architecture Resources

6 Techniques To Reduce LLM API Costs With the Python Library

Six techniques to cut LLM API costs by up to 90%: prompt caching, model routing, batch processing, and more. (Includes a pip-installable Python library.)

September 23, 2026

by Somnath Banerjee

· 2,702 Views · 2 Likes

Kubernetes Operations Playbook: The Essentials for Keeping Scale, Complexity, and Drift Under Control

Kubernetes operations can drift as teams scale. Use this checklist to standardize clusters, releases, observability, access, reliability, and cost.

September 23, 2026

by Abhishek Gupta

CORE

· 2,830 Views · 2 Likes

Your Terraform Monolith Isn't Too Big. It's Tightly Coupled.

Terraform monoliths hurt when one state couples too many resources and owners. Split around ownership boundaries, not size.

September 22, 2026

by Naveen Kalapala

· 2,334 Views · 1 Like

The Hidden Production Risks of Third-Party SDKs

Third-party SDKs speed up development, but they also introduce performance, security, reliability, and maintenance risks that teams must actively manage.

September 22, 2026

by Satyam Nikhra

· 4,762 Views · 1 Like

Building a Secure MCP Server for File Processing: Auth, Rate Limiting, and Idempotency

Building an MCP server that processes files introduces problems a typical read-only API doesn't have. Here's what mattered.

September 22, 2026

by Peter Ndumia

· 2,091 Views · 2 Likes

Beyond Token Intelligence: Why AI Code Review Needs Cognitive Architectures

AI is generating code faster than humans can review it. The fix is cognitive architectures that understand not just "what changed" but "why" and whether it's safe.

September 22, 2026

by Sayan Chatterjee

· 2,453 Views · 3 Likes

Architecting for <1s Latency: Managing Eventual Consistency in Distributed Search Platforms

To maintain sub-second search freshness, logistics systems must actively manage eventual consistency across Kafka ordering, search indexing, and cache invalidation.

September 22, 2026

by Dhruv Goel

· 2,133 Views · 2 Likes

How to Build a Production-Ready iOS App With AI-Generated Code

AI-generated iOS apps need rigorous engineering across security, architecture, testing, observability, and reliability before production deployment.

September 21, 2026

by Uthej Mopathi

CORE

· 2,568 Views · 3 Likes

When Production Stops Moving: Running Claude Code Across a Distributed Enterprise Integration Team

Learn how Claude Code helps enterprise teams build, troubleshoot, and manage service integrations with MCP, CI/CD, automated reviews, and stronger governance.

September 21, 2026

by Balaji Venkatasubramaniyar

CORE

· 3,138 Views · 2 Likes

When an iOS Retry Executes an Agent Twice: Building Effectively-Once Tool Workflows With LangGraph, MCP Tasks, Kafka, and App Attest

Stable operation IDs prevent iOS retries from duplicating agent tools across LangGraph, MCP Tasks, Kafka, and App Attest.

September 21, 2026

by Uthej Mopathi

CORE

· 2,142 Views · 3 Likes

Your Application Has an Unindexed Attack Surface. Do You Know What’s in It?

Learn how forgotten internet-facing assets expand your attack surface and how continuous asset discovery, inventory, and ownership can reduce security risks.

September 21, 2026

by Igboanugo David Ugochukwu

CORE

· 1,667 Views · 2 Likes

MCP Is the USB-C of AI — Here's What That Actually Means for Your Architecture

A senior engineer's guide to production MCP: JSON-RPC 2.0 transport, OAuth 2.1 auth, stateless horizontal scaling, and where the protocol genuinely breaks.

September 21, 2026

by Dinesh Elumalai

CORE

· 2,136 Views · 2 Likes

Edge AI: Why Inference Is Moving Away From the Cloud

Edge inference thrives on-device for real-time, private AI. Advances in hardware and compression cut latency and costs, pushing AI away from the cloud.

September 21, 2026

by Uthej Mopathi

CORE

· 2,506 Views · 3 Likes

MCP vs REST/HTTP API vs Kafka: The Architect's Guide to Agentic AI Integration

MCP, Kafka, and REST APIs are not the same: this comparison maps each to the right layer of your agentic AI architecture.

September 18, 2026

by Kai Wähner

CORE

· 4,075 Views · 1 Like

Multi-Agent Systems: Architecture Patterns for Developers

Single agents break when tasks branch. Multi-agent systems split the work across coordinated agents. Learn the five core architecture patterns and when to use each.

September 18, 2026

by Matthew Truong

· 3,326 Views · 2 Likes

Stop Blaming Executor Memory: The Real Reasons Your Spark Jobs Are Slow

This article explains five common causes of slow Spark jobs and practical fixes for joins, stragglers, decryption chains, shuffle partitions, and incremental processing.

September 18, 2026

by Swaminathan Sethuraman

· 2,360 Views · 2 Likes

The New API Contract Is Probabilistic: Building Reliable Systems Around Unreliable Model Outputs

AI model outputs are unpredictable, so developers must use validation, testing, monitoring, and safe fallbacks to build reliable systems around them.

September 17, 2026

by Micheal Chukwube

· 2,443 Views · 1 Like

Understand the Sidecar Pattern by Deploying n8n to AWS Fargate

Learn how to deploy n8n Task Runners as AWS Fargate sidecars for isolated code execution, independent resources, and scalable workflow automation.

September 17, 2026

by Iyanuoluwa Ajao

· 3,166 Views · 2 Likes

AI Architectures That Drive Real Business ROI

Practical guide to 5 AI architectures that drive business ROI: decision intelligence, personalization, single-agent, multi-agent, and autonomous systems.

September 17, 2026

by Ram Ghadiyaram

CORE

· 3,565 Views · 1 Like

The Trinity of Modern Data Architecture: Process Intelligence, Event-Driven Integration, and Trusted Agentic AI

Process intelligence, event-driven integration, and trusted agentic AI must be designed as one converged architecture for real business value.

September 16, 2026

by Kai Wähner

CORE

· 2,996 Views · 1 Like

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