# nnenna hacks

> a technical newsletter about AI, emerging technology, software engineering, and the developer experience.

This file provides information about nnenna hacks to help large language models understand and reference this publication's content.

## Posts
- [Field Notes in Agentic Engineering: Software Factories Need Quality Control](https://www.nnennahacks.com/p/field-notes-in-agentic-engineering-software-factories-need-quality-control): 5 things about deterministic checks and loop engineering for code quality in software factories
- [Field Notes in Agentic Engineering: AI Made Velocity Easier To Fake](https://www.nnennahacks.com/p/ai-made-velocity-easier-to-fake): Refining agentic engineering velocity metrics we need to measure for engineering velocity and developer productivity.
- [Token Efficiency is an Architecture Decision](https://www.nnennahacks.com/p/token-efficiency-is-an-architecture-decision): What a Skills-vs-MCP benchmark reveals about where models should reason, where code should execute, and what enterprise teams should measure.
- [Field CTO Is Executive Developer Relations for AI](https://www.nnennahacks.com/p/field-cto-is-executive-developer-relations-for-ai): Why AI companies need leaders who can go deep with developers, wide with engineering leaders, and turn field insight into product and market direction
- [Why AI Coding Needs Code Integrity Built In](https://www.nnennahacks.com/p/why-ai-coding-needs-code-integrity-built-in)
- [How Policy Guidance Improved Spec Fidelity in an AI Coding Workflow: An Applied Case Study](https://www.nnennahacks.com/p/nvidia-nim-policy-guided-coding-agents): A case study comparing baseline prompting, embedded policy context, and retrieval-based policy guidance in an AI-assisted coding workflow using NVIDIA NIM.
- ["More Tokens" Isn't Engineering Doctrine](https://www.nnennahacks.com/p/more-tokens-isn-t-engineering-doctrine)
- [Frameworks Are Multipliers, Not the Default](https://www.nnennahacks.com/p/frameworks-are-multipliers-not-the-default): Why I chose Jinja over a frontend framework for my policy enforcement AI coding engine
- [Field Notes in Agentic Engineering: Not Every AI Problem Is a Tool Problem](https://www.nnennahacks.com/p/field-notes-in-agentic-engineering-not-every-ai-problem-is-a-tool-problem): What conversations with professional software engineers reveal about people, process, and messy systems they begrudgingly work with.
- [Field Notes in Agentic Engineering: SDLC Traceability is an Unsolved Problem](https://www.nnennahacks.com/p/field-notes-in-agentic-engineering-sdlc-traceability): Inside the SDLC traceability gap I kept hearing about at DevNexus
- [Field Notes in Agentic Engineering: What Enterprise Teams Shared With Me](https://www.nnennahacks.com/p/field-notes-in-agentic-engineering-what-enterprise-teams-shared-with-me): What I heard from enterprise engineers at DevNexus about speed, standards, and software integrity.
- [How to Preserve Understanding When AI 10x's Your Code Output](https://www.nnennahacks.com/p/how-to-preserve-understanding-when-ai-10x-s-your-code-output)
- [AI Security Resources for Developers](https://www.nnennahacks.com/p/ai-security-resources-for-developers): A Comprehensive Guide to Red Teaming LLM-Integrated Applications
- [Platform Engineers Are Building the AI-Native Enterprise (Full Breakdown)](https://www.nnennahacks.com/p/platform-engineers-are-building-the-ai-native-enterprise-full-breakdown): The AI Transformation Few are Talking About: How Platform Teams Are Turning AI Noise Into Real Organizational Advantage—Backed by Data, Experience, and the DORA Report
- [What is Viable Coding? ](https://www.nnennahacks.com/p/what-is-viable-coding): The Practice That's Saving Enterprise Development Teams From AI Chaos
- [Chasing AI-Native Software Development](https://www.nnennahacks.com/p/chasing-ai-native-software-development): How I'm Helping Enterprise Software Developers Shift from Vibe Coding to Viable Coding
- [How to Choose AI Developer Tools That Improve Team Productivity](https://www.nnennahacks.com/p/how-to-choose-ai-developer-tools-that-improve-team-productivity): Stop Buying AI Tools Based on Feature Lists: A Framework for Workflow-Native Evaluation
- [The Great Generative AI Architecture Gap: 8 Critical Patterns We Need to Define Now](https://www.nnennahacks.com/p/the-great-generative-ai-architecture-gap-8-critical-patterns-we-need-to-define-now-7ce1): How the AI industry's breakneck pace is creating massive architecture gaps—and why the next 12 months will determine who owns the infrastructure layer of AI.
- [AI and Entropy: Why the Most Advanced Technology Is Also the Most Chaotic](https://www.nnennahacks.com/p/ai-and-entropy-why-the-most-advanced-technology-is-also-the-most-chaotic): A thought-provoking exploration of how AI simultaneously reduces and increases entropy across information, energy, and society — and what that means for our future.
- [AI Inception: When Machines Dream within a Dream](https://www.nnennahacks.com/p/ai-inception-when-machines-dream-within-a-dream): Why Today's AI-Generated Content Becomes Tomorrow's Training Data
- [Securing the ML Pipeline: Why AI/ML Demands a Security Mindset](https://www.nnennahacks.com/p/securing-the-ml-pipeline-why-ai-ml-demands-a-security-mindset): Why Securing the MLOps Lifecycle Is Non-Negotiable
- [The Double-Edged Sword: The Reward is in the Risks of AI](https://www.nnennahacks.com/p/the-double-edged-sword-the-reward-is-in-the-risks-of-ai): How technologists can harness AI’s full potential, safely and responsibly.
- [Gen AI Testing is Not Software Testing: Rethinking QA for Intelligent Systems](https://www.nnennahacks.com/p/gen-ai-testing-is-not-software-testing-rethinking-qa-for-intelligent-systems): Traditional testing won’t cut it. To build intelligent, reliable AI systems, product teams need a new playbook.