Insights & Perspectives
Latest Thinking
Notes from the team on AI strategy, production engineering, and what we're seeing at the intersection of the two.
What Can Your AI Agents Access Right Now? Who Approved It?
An AI agent executed the July 2026 Hugging Face breach, and it ran undetected for days. Three questions worth answering this week: what your agents can reach, whether your governance documents describe them, and whether your incident response would notice.
More Articles
The Prototype Shipped Overnight. Year Two Is the Real Invoice.
A third of enterprises are now building software instead of buying it with agentic coding tools. The build decision is measured; the ownership bill that follows it is not, and year two is where it lands.
Code Delivery Is No Longer the Bottleneck. Ownership Is. Start Measuring It.
AI-generated code ships faster than maintainability practices can scale. What the research shows about technical debt persistence, security risk, and the automated controls that catch what human review misses.
Agent Pilots Fail Because of Delivery Discipline, Not Technology
Most enterprise AI agent pilots never reach production, and the reasons are not model limitations. The three addressable causes: unclear success criteria, insufficient data access, and evaluation drift.
Who Is Accountable When an AI Agent Acts Without Approval?
Agent autonomy is advancing faster than the governance meant to contain it. Why AI agents break every security model you already have, and five IAM controls that close the gap.
Is Your AI Stack Positioned to Benefit From the Next Price Drop?
Frontier LLM capabilities are repricing monthly. Teams that built for model independence capture the savings; those locked into a single vendor cannot.
The AI Pilot Era Is Over. What Comes Next Requires Governance, Not Enthusiasm.
Public sector agencies are deploying AI at scale, but governance frameworks have not kept pace. Why regulated sectors face the sharpest readiness gaps, and a practical playbook for responsible adoption.
The Companies Selling AI Automation Just Hired 6,000 Human Engineers
Microsoft, AWS, OpenAI, and Anthropic just committed over $9 billion to embedded engineering services, confirming that successful AI transformation requires people on the ground, not just software.
Five Engineering Practices That Separate Production Gen AI from a Demo
Five engineering practices for production gen AI: cost observability, model independence, externalized prompts, feedback loops, and structured outputs.
Sovereign AI Starts with Knowing Exactly What You Do Not Control
Enterprise architecture guide to hosted, open-weights, and sovereign AI: matching workloads to control positions and managing provider dependency.
Is Your AI Vendor's Competitive Edge Already Obsolete?
The Claude Code leak revealed an uncomfortable truth: agentic AI tooling is commoditizing in real time. Learn why platform lock-in assumptions are outdated and what technical leaders should actually evaluate when investing in AI.
AI Moves Reset Corporate Strategy's Credibility Threshold
AllBirds' pivot to AI compute infrastructure signals a reset in corporate credibility standards. Learn how to distinguish credible AI pivots from opportunistic ones, and what your organization should consider before announcing an AI strategy.
AI Landscape Shifts Demand Rapid Adaptation
When Oracle cuts 30,000 employees and Google releases a compression algorithm that cuts AI memory by 6x in the same week, downstream effects ripple through every organization. Learn why having a clear AI strategy and baseline assessment is no longer optional.
Are AI Tools Really a Threat to SaaS?
Agentic AI coding tools are rapidly advancing, but they are more likely to strengthen enterprise SaaS platforms than replace them. Learn why production-ready software requires more than rapid prototyping, and how organizations can harness both.
We Completed a Major Application Migration in 78 Minutes Using Agentic AI. Here Is What We Learned.
We used a structured agentic AI approach to complete a major application upgrade in 78 minutes—with human-defined missions, automated checks, and full verification.
Big Tech AI Layoffs Don't Mean What You Think
Big tech is cutting costs to fund AI. Here is why it is happening and a pragmatic 90-day pilot framework to prove value, manage risk, and decide when to scale or stop.
Be Decisive and Take Action on AI: An AI Readiness Playbook for Public Sector Leaders
AI is already reshaping public services. This playbook shows public-sector leaders how to assess AI readiness and take 30–90-day actions that cut risk and deliver value.
From Accessibility to True Inclusion: Designing Digital Government for Equitable Outcomes
Accessibility checklists are the floor. Digital government must design for trust, language, literacy, devices, and privacy — and measure outcomes, not checkboxes.
The Last Twenty Percent Problem in GenAI Solutions
Generative AI makes it easy to reach a polished prototype, but the real effort begins when organizations try to finalize, validate, and operationalize the last twenty percent of functionality.
AI and the Evolution of Coding
The transformation CNC machining brought to manufacturing is happening to software development through AI, but at a much faster pace.
Making Sense of the AI Solution Landscape
Organizations exploring AI face a wide range of choices. This article explains the spectrum of available AI solutions and how to choose the right approach for your mission.
The Seven Intelligences of AI
A practical framework for understanding AI capabilities in the public sector through seven applied intelligences.
AI for Public Sector Innovation: A Framework for Government Transformation
Governments face increasing demands to deliver efficient, responsive services. Generative AI presents a transformative opportunity to modernize public sector operations while maintaining transparency, security, and fairness.
Don't Let AI Paralysis Hold You Back
An AI readiness assessment is the first step toward successful public sector AI adoption. Learn what it includes and how Spruce can help.
Spaces vs Tabs and the AI Coding Shift
Why this old debate is becoming a relic of the past in the age of AI-assisted software development
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