Blog
Engineering notes on agentic AI, architecture, and production systems.
- 15 min read
Private Enterprise AI in 2026: Who Is Actually Keeping Models and Customer Data Private?
A practical 2026 guide for architects and enterprise leaders evaluating private AI across hyperscalers and sovereign platforms, with a focus on privacy, guardrails, and vendor lock-in tradeoffs.
For regulated enterprises, private AI is no longer just about model quality. It is about where inference runs, whether data crosses public networks, who can access prompts and outputs, and whether model runtime can be isolated inside customer-controlled infrastructure.
Read more →PrivateAI EnterpriseAI AIArchitecture DataPrivacy Security SovereignAI AWS Azure - 18 min read
From AI Experiments to Enterprise Platforms: Why Amazon Bedrock and AgentCore Matter
Amazon Bedrock and AgentCore can help CTOs, architecture leaders, and AI Centers of Excellence move from isolated AI experiments to secure, governed, production-ready enterprise agent systems.
Most organizations can build an impressive AI demonstration. Far fewer can turn that demonstration into a secure, reliable, governed enterprise capability. For AWS-first companies, Amazon Bedrock and AgentCore provide a path from fragile prototypes toward a common production foundation for generative and agentic AI.
Read more →AmazonBedrock AgentCore EnterpriseAI AgenticAI AIGovernance AWSArchitecture AICenterOfExcellence CTO - 18 min read
How I Architected the ResolveAI Backend: FastAPI, AWS Lambda, DynamoDB, and Event-Driven AI Workloads
A practical look at the serverless backend behind ResolveAI: why I chose FastAPI on Lambda, DynamoDB access patterns, Firebase auth, SQS workers, and EventBridge scheduling.
ResolveAI needed a backend that could move fast like a startup without collapsing under AI features, subscriptions, caregiver workflows, and sensitive user data. I built it as a serverless Python platform around FastAPI, Lambda, API Gateway, DynamoDB, SQS, EventBridge, and tightly controlled external integrations.
Read more →ResolveAI ResolveSolutions BackendArchitecture FastAPI Python312 AWSLambda APIGateway DynamoDB - 16 min read
From Lambda Calls to Agentic AI: Exploring Amazon Bedrock for AI Architects and Engineers
How AI architects and engineers targeting AWS can think about RAG, agents, flows, streaming, and the new GenAI control plane with Amazon Bedrock.
For many AI architects and engineers, the first GenAI choice was direct model APIs like OpenAI. We are now in the second or third inning of AI with agentic models, and Bedrock can become a better AWS-native choice depending on requirements for governance, orchestration, RAG, and operational control.
Read more →AWS AmazonBedrock GenAI AgenticAI RAG KnowledgeBases BedrockAgents BedrockFlows - 12 min read
How I Designed Resolve Reinvent Flutter Architecture
A deep dive into the Dart-first, cross-platform architecture behind Resolve Reinvent: why I chose explicit state, built for iOS, Android, and web with minimal changes, and added a secure admin layer on top.
I built Resolve Reinvent around a Dart-first architecture so I could ship iOS, Android, and web from one codebase with virtually no changes. I chose ValueNotifier, ChangeNotifier, BasePage, explicit service boundaries, and a secure admin layer because I wanted speed without giving up control, observability, or long-term maintainability.
Read more →ResolveReinvent ResolveSolutions Flutter Dart Architecture MVVM BasePagePattern ViewModel - 13 min read
Why Disciplined Agentic Engineering Matters
Agentic engineering, AI-assisted software engineering, and supervised generation describe a disciplined, spec-driven workflow where humans steer, review, and own the software while AI accelerates the work.
Agentic engineering, AI-assisted software engineering, and supervised generation are better frames for a disciplined workflow. AI can remove accidental complexity, but it cannot replace judgment, architecture, code reading, testing discipline, and production ownership.
Read more →AgenticEngineering AI AICoding SoftwareEngineering FredBrooks NoSilverBullet AIAssistedSoftwareEngineering AIAugmentedDevelopment - 10 min read
Announcing Resolve Care Circle: Care for the People You Love — Without Burning Yourself Out
Resolve Solutions LLC launches Resolve Care Circle inside Resolve Reinvent — a private, AI-powered space for caregivers to track loved ones, share with family, and protect themselves from burnout.
Caregiving was never meant to be a solo job. Quietly, millions of people are looking out for someone they love — an aging parent, a partner navigating a hard season, a kid struggling, a sibling out of town, a friend who became chosen family. Resolve Care Circle takes that invisible weight and gives it a place to live. Available now inside Resolve Reinvent on iOS, Android, and the web.
Read more →ResolveCareCircle CareCircle ResolveReinvent ResolveSolutions Caregiving Caregivers CaregiverBurnout SandwichGeneration - 8 min read
Why FFT Social Is Different: A New Kind of Social Platform Built for Better Thinking
Discover why FFT Social was built, what makes it different from traditional social media, and how it helps people share ideas, challenge assumptions, and have better conversations online.
Social media was supposed to connect us, but connection got replaced by noise and outrage. FFT Social was built around one core belief: the internet works better when people are encouraged to think, not just react.
Read more →FFTSocial SocialMedia SocialMediaAlternative ThoughtLeadership ConstructiveDebate OnlineCommunities FounderStory ProductVision - 9 min read
AI Coding, GIGO, and the Return of First Principles
AI does not repeal computer science — it accelerates it. Why bad requirements still produce bad software, only faster, and what the human role looks like now.
I had a coffee cup in 1979 that said GIGO: Garbage In, Garbage Out. That pretty much sums up where we are with AI coding today. Everybody wants to believe this time is completely different. In some ways, it is — the speed, the cost curve, the tooling, the accessibility. A single person can now build what used to take a small team. But the fundamentals are not different. Everything we really needed to know about building software, we basically learned in the 1950s, 60s, and 70s…
Read more →AI AICoding GIGO FirstPrinciples SoftwareEngineering SpecDrivenDevelopment Architecture TechnicalDebt - 6 min read
My Founder Story: From Startup Engineer to Building Resolve Solutions
How 30+ years across startups and enterprise healthcare, plus the rise of AI, led me to launch Resolve Reinvent and found Resolve Solutions LLC.
As a seasoned software engineer, I've had a successful career spanning multiple industries, with a big part of my early work being in startups. I'd love to share my unique professional background and how it led to my own founder story. I've always had a passion for creating products, and over the years I built a few ideas of my own. Some required too much capital, and others demanded more time and risk than I could realistically take on while balancing family life and career. Eventually, I landed at a major healthcare insurance company, where I grew into a stable role across solution architecture, app development, and cloud platform integration with AWS at scale…
Read more →Founder AI AgenticEngineering ClaudeOpus ClaudeSonnet Anthropic LLM GenAI