docs: add licensing

LICENSE

@@ -0,0 +1,76 @@
+# **Odd Essentials Test Fixtures License (OETFL) – Version 1.0**
+
+**Copyright © 2025 Odd Essentials, LLC. All rights reserved.**
+
+This repository and all associated test fixtures (“the Software”) are provided under a **source-available, non-commercial license**.
+You are free to **read, clone, fork, modify, and contribute** to the Software, under the terms below.
+
+---
+
+## **1. Permitted Use**
+
+You may use, modify, and run the Software **for personal, educational, research, or open-source development purposes**, including:
+
+- Experimentation
+- Learning
+- Internal development
+- Submitting contributions (pull requests)
+- Using the fixtures to improve your own open-source projects
+
+---
+
+## **2. Non-Commercial Restriction**
+
+You **may not** use the Software, or any derivative of it, **for commercial purposes**, which include but are not limited to:
+
+- Selling the Software
+- Selling products or services that depend on the Software
+- Using the Software as part of a revenue-generating product, platform, or SaaS
+- Using the Software to train or evaluate commercial AI models or tools
+- Incorporating the Software into any tool, framework, or product offered for a fee
+- Using the Software to build a paid competitor to Odd Essentials tools or services
+
+If you want to use the Software commercially, you must obtain a **separate commercial license** from Odd Essentials, LLC.
+
+---
+
+## **3. Contributions**
+
+By submitting a pull request or contribution:
+
+- You grant Odd Essentials, LLC a **perpetual, irrevocable, royalty-free license** to use, modify, distribute, and relicense your contributions.
+- You confirm that your contribution is your own original work and does not infringe on others’ rights.
+
+---
+
+## **4. No Warranty**
+
+The Software is provided **“as is”**, without warranty of any kind.
+Odd Essentials, LLC is **not liable** for any damages arising from its use.
+
+---
+
+## **5. Trademark**
+
+The names **Odd Essentials**, **Odd-Hive-Mind**, **Swarm**, and related branding may not be used without prior written permission.
+
+---
+
+## **6. Termination**
+
+This license is automatically terminated if you violate its terms.
+Upon termination, you must stop using and destroy all copies of the Software.
+
+---
+
+## **7. Optional Commercial License**
+
+For commercial use, redistribution, integration, or partnership inquiries, contact:
+
+**Odd Essentials, LLC**
+📧 [legal@oddessentials.com](mailto:legal@oddessentials.com)
+🌐 [https://oddessentials.com/](https://oddessentials.com/)
+
+---
+
+# **END OF LICENSE**

essay.md

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+# \*\*The Future of Software Engineering:
+
+Supercolonies: Where the Most Skilled Engineers Command Hives and Swarms\*\*
+
+By: Peter M. Palles
+
+Software engineering is standing on the edge of a structural shift unlike anything the industry has seen since the rise of the internet. For decades, progress relied on adding more people, more processes, and more layers of coordination. But the next generation of engineering will belong not to the largest teams, but to the _smallest, most skilled_ engineers—those who learn to command hives and swarms of intelligent agents (Ghahramani, 2024; Reflection AI, 2024).
+
+In this emerging model, a single engineer equipped with a well-orchestrated swarm can achieve what once required an entire department. Architect agents establish the blueprint. Planner agents transform broad goals into precise task graphs. Coders and reviewers operate in parallel, generating clean, test-driven patches under strict safety, provenance, and audit constraints. A hive becomes an extension of the engineer’s mind: a tool for reasoning, building, validating, and iterating at scale (Cognition AI, 2024; Google, 2024).
+
+This changes the profession in three profound ways.
+
+**First**, software engineering becomes more cognitive than mechanical. The value of a human engineer shifts toward problem framing, systems thinking, domain expertise, and quality control. Everything downstream—the code, tests, documentation, and structure—can be delegated to a swarm that works deterministically and verifiably, with the engineer guiding the intent and reviewing the results.
+
+**Second**, the productivity delta between a top-tier engineer and an average one grows exponentially. Swarm systems are not a universal equalizer; they are force multipliers. The more precise, methodical, and senior the engineer, the more leverage they generate from a hive. Just as a master carpenter extracts more capability from tools than an apprentice, an expert engineer can extract far greater capability from intelligent, parallel, tireless digital tools.
+
+**Third**, the nature of teams transforms. Instead of 20 engineers coordinating tasks and merging pull requests, a future team may consist of 3–5 senior engineers, each wielding their own hive. Coordination scales down; execution scales up. The team becomes more resilient, more consistent, and more capable of solving problems previously out of reach.
+
+This future will not eliminate engineers—it will elevate them. It will reward discipline, architectural thinking, and craftsmanship. It will turn engineering leaders into orchestrators of digital workforces, liberating them from the combinatorial noise of implementation detail. The engineers who thrive will be those who build the right swarms, ask the right questions, enforce the right constraints, and shape technology with intention rather than accident.
+
+We are entering an era where a single engineer can build a platform, ship a product, run a company, or change an industry. Not because the work is easier, but because the engineer is no longer alone. The future of software engineering belongs to those who can think at scale, design at depth, and command the hive.
+
+---
+
+# **References (APA 7th Edition)**
+
+Cognition AI. (2024). _Devin: The AI software engineer_. [https://devin.ai/](https://devin.ai/)
+
+Ghahramani, Z. (2024). _The future of AI-assisted engineering_. Google DeepMind. (Conceptual reference; no direct quotation)
+
+Google. (2024). _Antigravity: Agentic development environment_. [https://antigravity.google/](https://antigravity.google/)
+
+Reflection AI. (2024). _Agentic systems and multi-agent collaboration_. Anthropic Research Notes. (Conceptual reference; no direct quotation)
+
+Wooldridge, M. (2021). _A concise introduction to multiagent systems and distributed AI_. MIT Press. (Background theory on multi-agent systems)

package.json

@@ -2,6 +2,8 @@
   "name": "test-fixtures",
   "version": "0.1.0",
   "private": true,
+  "license": "SEE LICENSE",
+  "licenseFile": "LICENSE",
   "type": "module",
   "scripts": {
     "build": "tsc -p tsconfig.json",
@@ -11,6 +13,10 @@
   },
   "main": "./dist/index.js",
   "types": "./dist/index.d.ts",
+  "files": [
+    "dist",
+    "LICENSE"
+  ],
   "exports": {
     ".": {
       "import": "./dist/index.js",