Insights & Ideas

Blog &
Insights

Practical advice on AI development, app architecture, and building products that ship. From our experience shipping 35+ apps to 1M+ users.

AI Glossary

50 AI terms explained clearly

AI Comparisons

8 head-to-head comparisons

FeaturedTutorial

Build a Claude Agent SDK Harness for Bug Triage Automation

Cut bug triage time with Claude Agent SDK harnesses. Learn setup, prompt engineering, cost tradeoffs, and real production insights for Sentry automation.

How to Build a Pay-Per-Call MCP Server Aggregating 100+ AI Tools

Learn how to architect and implement a scalable Model Context Protocol (MCP) server integrating 100+ AI tools with pay-per-call billing and token tracking.

Expanding Gemini API Managed Agents: Remote MCP & Background Tasks

Gemini API managed agents now support background tasks and remote MCP integration, cutting latency by 80% and inference costs by 42%. Build robust AI agents with ease.

Agent Network Egress Firewall: Control AI Agent Outbound Communications

Cut AI agent security incidents by 85% and save $12k/mo using network egress firewalls. Learn to secure enterprise AI agent outbound communication with RAHSI.

RAG Token Usage: Cost & Architecture Breakdown for Production AI

We cut token usage by 75% in RAG stacks, dropping inference latency from 2.8s to 860ms. Here’s the detailed cost and architecture breakdown for RAG token optimization.

Stop Building AI Agents as Standalone Apps: Enterprise AI API Integration

Standalone AI agents inflate latency and cloud costs. Embedding AI via enterprise AI APIs cuts inference calls 72%, latency to 700ms, and monthly bills from $18k to $5k.

Adversarial Attacks on LLMs: Implementations, Defenses & Costs

Explore how adversarial attacks on LLMs like GPT-4.1-mini and Claude Opus 4.6 impact production AI, with real defense strategies and cost tradeoffs.

How to Build AI Agents Reading AGENTS.md for Consistent Instructions

Learn how AI agents use AGENTS.md to get consistent, project-specific instructions. See architecture, production tradeoffs, and real code examples for Claude and Gemini.

Mistral AI Explained: OpenAI Competitor, Models & Open Source

Mistral AI competes with OpenAI by offering open-source models like Mistral Large 2 with 123B parameters and 128K token context. Discover costs, architecture, and use cases.

Implement Multi-Agent AI Systems with Orchestrator-Worker Pattern

Cut AI inference costs by 65% and latency to 1.2s using the multi-agent orchestrator-worker pattern. Learn design, coding, failure handling, and deployment.

Jul 4, 2026

Read

Stay Updated

Get weekly AI insights, case studies, and development tips. No spam.

Unsubscribe anytime. We respect your privacy.

Want us to build
your AI product?

From concept to production in days, not months. If we miss our timeline, it's free.

Blog &Insights

Build a Claude Agent SDK Harness for Bug Triage Automation

How to Build a Pay-Per-Call MCP Server Aggregating 100+ AI Tools

Expanding Gemini API Managed Agents: Remote MCP & Background Tasks

Agent Network Egress Firewall: Control AI Agent Outbound Communications

RAG Token Usage: Cost & Architecture Breakdown for Production AI

Stop Building AI Agents as Standalone Apps: Enterprise AI API Integration

Adversarial Attacks on LLMs: Implementations, Defenses & Costs

How to Build AI Agents Reading AGENTS.md for Consistent Instructions

Mistral AI Explained: OpenAI Competitor, Models & Open Source

Implement Multi-Agent AI Systems with Orchestrator-Worker Pattern

Stay Updated

Want us to buildyour AI product?

Blog &
Insights

Want us to build
your AI product?