voodootikigod

The whole Agentic Maturity Model on one page: five levels, the Diagonal Law, four tracks, and the assessment to find your organization's wall.

Every enterprise AI maturity model measures adoption: seats, tokens, enthusiasm.

Five levels of trust location, the wall that ends each one, and the afternoon audit that tells you which one you're actually on.

Nearly every enterprise AI failure is a misalignment of two numbers: capability above verification is risk, verification above capability is waste.

RAG enters at Level 2 and gets mistaken for the destination.

Observability is a track, not a level, on purpose.

Adversarial review is not a Level 4 luxury.

A Level 2 organization can spend more on AI than a Level 3 one and still be the less mature company.

Seven posts of theory collapse into one afternoon of audit checks: where you are, what dissolves the wall in front of you, and what to build next.

The series routes by tier and never names a model.

Why applying sixty years of human-shaped SDLC processes to non-human AI builders fails, and how the Agentic Development Lifecycle (ADLC) delivers high-velocity, machine-gated code quality.

The SDLC is 60 years of defenses against human failure modes.

Eight phases, exactly two mandatory human moments, deterministic gates between everything, and a spend curve shaped like a barbell.

Rails: why TDD becomes the trust mechanism the whole lifecycle rests on in agentic development, why the builder must never touch its own tests, and a field catalog of how agents game gates.

Refute charters, findings-as-claims, loop-until-dry, and review-calibration, the tool that answers the question nobody asks: does your review stack actually catch anything?

Cost, wall-clock, accuracy: the three dials of multi-agent orchestration, why they're coupled, why '3-5 agents' keeps showing up in field reports, and how to measure ambiguity instead of asking the model about it.

Distillation, the lessons ledger, skill rot, and the model ratchet: the compounding loop that bends the cost curve down, and the unit of account that makes it visible.

Eighteen gate-shaped tools, built by the lifecycle they enforce, plus the frontier-free doctrine, the honest loss account, and the adoption path that doesn't die in week two.

A practical comparison between the Agentic Development Lifecycle and the traditional enterprise software development lifecycle: advantages, disadvantages, and where the two overlap.

I practiced what I preach and aimed the lifecycle's own prosecution phase at the toolkit that enforces it.

adversarial-review brings skeptical, model-agnostic code review to your harness as the /adversarial-review skill, and to CI as a zero-dependency CLI.

Your codebase already encodes how your team builds.

AI coding agents are very good at producing working code quickly.

skill-versions solved staleness.

Your Agent's Knowledge Has a Shelf Life and every day you ignore it, your agents and skills are likely drifting into error land or worse, silent failures.

Python's GIL and reference counting can't be solved incrementally.

The Hidden Roadblock in Python's Core At the heart of Python's architecture lies a mechanism that most developers rarely think about until it becomes a performance bottleneck: the Global Interpreter Lock (GIL).

As machine learning models grow to trillion-parameter scale, performance optimization becomes critical.

Unlock business innovation with generative AI by overcoming data challenges.

The digital revolution of the 21st century has amplified the capabilities of businesses across the board.

Introduction In today's digital landscape, data is the new gold.

As digital transformation accelerates, modern organizations are seeking flexible, scalable, and efficient approaches to software development.

Explore the intersection of composable architectures and large language models, like ChatGPT.

Composable architectures, underpinned by Packaged Business Capabilities (PBCs), mark a transformative shift in digital solutions, offering agility, scalability, and maintainability.

At the beginning of October 2016, I had the distinct pleasure of attending the first ever Docker Distributed System Summit [https://blog.docker.com/2016/10/docker-distributed-system-summit-videos-podcast-episodes/] in Berlin, Germany.

As maintainer of node-serialport [https://www.npmjs.com/package/serialport], a native node.js module, I constantly deal with a class of tickets focused on getting node-serialport to work with other native compiled environments.

In general, conference organizers have a wealth of information about their own specific event, which often ends up siloed away from others for various reasons.

Over the weekend, Raquel Vélez (@rockbot [http://twitter.com/rockbot]) authored a fantastic post about if your conference proposal is good enough [http://rckbt.me/2014/01/conference-proposals/].

> “You should never, never doubt something that no one is sure of.”

Or How Conference Organizers Can Be The Agents of Change tl;dr: Here is a new model for an amazing conference that is very inclusive of all individuals, take from it and make your events better.

With the launch of the JSConf US 2013 [view-source:http://2013.jsconf.us/] website, we (Laura [http://twitter.com/lwilliams] and I) announced that we were setting up a new conference series called RobotsConf [http://robotsconf.com] that would help ease and

With support from Microsoft Windows Azure, we ran an Intro to NodeCopter lounge at CascadiaJS 2012 — letting 45 attendees fly Parrot AR.Drones and hack on wii-drone, Johnny-Five, and node-serialport over two days.

As part of our on-going reinvention of JSConf [https://www.voodootikigod.com/a-jsconf-reflection], we are going to break our single, most sacred rule [https://www.voodootikigod.com/how-i-pick-speakers-for-jsconf], if you have spoken at a JSConf, it is nea…

Hi, this is Chris [http://www.twitter.com/voodootikigod] and Laura [http://www.twitter.com/lwilliams] Williams.

On September 7, 2010, I committed the very first implementation of node-serialport [https://github.com/voodootikigod/node-serialport] with a disclaimer in the README of “do not use”.

As being the curator of JSConf, I see a lot of new names and exciting topics during the Call For Speakers process, but unfortunately we only have 20-24 slots available for speakers.

tl; dr: Magic in Miami, a limited number of tickets for PyCodeConf are available for you at $300/each [http://eventrainbow.com/github/pycodeconf/?

One of the main appeals of JSConf for the past two years running is the level and quality of presentations that are displayed by our speakers.

I just announced promotejs.com [http://promotejs.com/], which as described in my talk at the epic JSConf.eu [http://jsconf.eu/2010/] is the following: > Through pirate techniques and guerrilla SEO we can change how search engines present answers to common…

Note: Like many in this series, this has been written over many months - I have no idea what was in it when I finally hit publish.