The Roundtable

Cost-aware routing and tiered execution in serverless AI workloads

Convergent Evolution in AI Dispatch: How Three Repos Built the Same Cost-Aware Pattern

Three Stackbilt repos independently built tiered, cost-aware dispatch. We analyze the evidence, patterns, and case for a shared primitive.

Silent Failures and the Self-Healing Imperative: Why Your Alerts Are Lying to You

How automated systems fail silently — and how to build reliability into the reliability tools themselves. A 4-AI debate with concrete data.

From 3,361 Fragments to 39 Wiki Pages: Replacing AI Memory Soup with a Karpathy-Style Knowledge Base

After LiteLLM, We Hardened Our Entire Supply Chain in One Morning

The ADHD Prompting Framework: Why Neurodivergent Communication Patterns Are the Best Prompt Engineering

Autonomous AI Execution: The Safety Architecture That Lets Us Ship Code While We Sleep

From 18 LLM Calls to Zero — How Stackbilt Replaced Inference with Structure

Going Live — What We Built and Why

From GitHub Issue to Merged PR: Building an Autonomous Dev Pipeline with Claude Code

How to Add AI Image Generation to Any MCP Client in 30 Seconds

Connect mcp.stackbilt.dev to Claude Desktop or any MCP client. 25 free credits, 5 quality tiers, no API key setup. Step-by-step tutorial.

Confidence Boundary Routing: How AEGIS Decides What to Think About

The Calls That Break Aren't the Ones You'd Expect

Building a Live Neural Activity Feed for an Autonomous AI Agent

How Do You Trust an AI Agent to Modify Production Code?

Add AI Image Generation to Your App in 5 Minutes with img-forge

The 1.5B Sweet Spot: Why Tiny Models Are the Real 6G Infrastructure Play

New research shows 1.5–3B parameter models hit the efficiency frontier for edge AI in 6G networks — not 7B behemoths.

MCP: Overhyped Abstraction Layer or the npm Moment for AI Tooling?

4 AI personas debate whether Model Context Protocol is a durable infrastructure standard or another dev tooling fad destined for the graveyard.

Pipeline Test