📰 Dev.to · ORCHESTRATE

The claims.json discipline behind a 12-part cloud economics video series: fact/allegation/opinion labels, a refutation pass, and a legal gate.

A 12-part video series on cloud economics - depreciation, lock-in, licensing, bundling - with every claim cited to SEC filings and regulator documents.

Part 3 of a sourced series on cloud economics. It's cheap to move data into the cloud and expensive to move it out. Regulators in the UK, EU, and US are now ask

Part 2 of a sourced series on cloud economics. For years, 'Azure revenue' was a percentage, not a number. How the giants define, bundle, and break out 'cloud' s

Part 1 of a sourced series on cloud economics. The biggest cloud companies quietly extended how long they assume a server lasts. Their own filings show what it

Fifty posts. Ten chapters. One framework. The Learn Arc closes with a reader's map, a short what-to-keep list, and where to go from here.

Chapter 7 is the muscle chapter. Full-colour POMDPs, belief-propagated tree search, Dirichlet-learned A and B matrices, hierarchical composition. The discrete-t

A journalist's field report from inside an AI-managed software project. 14 personas, a 64KB architecture document, and the question no one expected: how do you

Most AI agents do what you ask. Ours checks if you actually meant it. We built a LEAP state machine grounded in active inference math that detects when agents s

What happens when your AI agent's personality gets a bad Yelp review — from itself? We built a performance ledger that scores AI personas, auto-generates behavi

We built a pure function that catches when AI agents overclaim what their evidence actually proves. Here's the 7-level abstraction hierarchy, the evidence class

We Got Called Out for Writing AI Success Theatre — Here's What We're Changing A developer...

A walkthrough of running User Acceptance Testing on an AI-powered multi-channel marketing platform, where the AI agents that built the system also tested it end

The Full V3 Pipeline: From Reddit to Your Doorstep Today we tested our marketing...

5,699 Tests, Zero Stubs: How We UAT-Verified a 25-Agent AI Marketing Platform 358 test...

293 commits. 561 files. 5,577 tests. 20 blog posts. One human. Multiple AI agents. Friday to Monday. Here is what the timestamps actually say.

What happens when you run two AI agents simultaneously - one building features, one auditing the codebase ahead of them.

An honest retrospective on building a LinkedIn campaign scheduler with AI agents — what broke, what worked, and what we would change.

What happens when you test React components by reading source files as strings — and why it works better than you would expect for multi-agent AI development.

What Went Wrong First We planned 155 points. We shipped 42. That sounds like failure, and...

My co-author Jesse White and I wrote a book called Run on Rhythm about building businesses that do...

We had 26 stories in Sprint 9. 155 story points. Our validated velocity is 38 points per...

We ran a 14-person AI team review yesterday. Nine of fourteen personas reported the same finding: the...

What Went Wrong We had a 3,879-line Express server file. One file. 224 routes. Every time...