Recent Entries

• DevSecOps for Startups: Building Security In From Day One

  by Justin Roy 1 hour ago

  Startups often treat security as something to address once they have a dedicated security hire, but by the time that happens, security debt has usually accumulated across the codebase, infrastructure, and third-party integrations. DevSecOps, folding security checks into the development pipeline inst...
• UI/UX Design Trends for SaaS Products in 2026

  by Justin Roy Sep 15

  SaaS design in 2026 is being reshaped by one central shift: products are no longer designed purely for humans clicking through screens — they're increasingly designed for a mix of human interaction and AI-assisted workflows. That shift, alongside a few longer-running trends, is changing what "...
• AI Receptionist for Small Business: What It Costs and How to Choose One in 2026

  by Justin Roy Sep 15

  Small businesses lose more revenue to missed calls than most owners realize. A single unanswered call during a lunch rush, an after-hours emergency, or a busy front desk can mean a lost customer who simply calls the next business on the list. An AI receptionist, a virtual system that answers calls, ...
• AI-Powered Lead Scoring: The Real Estate CRM Gap Brokerages Are Missing

  by Justin Roy Sep 3

  Only 21 percent of agents currently use a CRM with AI-powered insights, per the National Association of Realtors' 2025 Technology Survey. That's low enough to be a genuine opportunity for any brokerage or PropTech platform willing to build the capability well, rather than bolt it on as an afterthoug...
• Guardrails and Safety: Non-Negotiables for Production LLMs

  by Justin Roy Aug 25

  Generative outputs are probabilistic, which means the same prompt can produce different answers on different runs, and a small percentage of those answers can be wrong, off-brand, or unsafe. Production LLM apps need guardrails that catch these cases before they reach a user: input sanitization, outp...
• Meta-Hacking: How Attackers Are Interrogating AI Systems

  by Justin Roy Aug 21

  Most security research probes a system from the outside. A newer, stranger technique starts by asking the AI questions about itself and letting its own answers do the reconnaissance. This is meta-hacking: repeatedly asking an AI assistant why an action is restricted, where each response reveals ano...
• Future-Proof Tech Careers: The Skills That Will Matter Most in the AI Era

  by Justin Roy Aug 19

  Every tech professional has asked some version of the same question in the last two years: is my job safe from AI? The honest answer is that some skills are becoming commoditized while others are becoming more valuable, and the professionals thriving in 2026 are the ones who have shifted their skill...
• Is AI-Assisted Coding Ready for Production in 2026? What Teams Building With Claude Code Are Finding

  by Justin Roy Aug 19

  AI coding assistants have moved well past the novelty phase, but a fair question remains: are they actually ready to power production software, or just impressive demos? Teams building real applications with tools like Claude Code throughout 2026 are giving a clearer answer than the hype cycle sugge...
• How Much Does It Cost to Build an AI-Powered SaaS Product in 2026?

  by Justin Roy Aug 18

  Building a SaaS product has always required careful budgeting, but adding real AI capability introduces new cost variables that many founders underestimate, inference costs, data infrastructure, model selection, and ongoing tuning. In 2026, a functional AI-powered SaaS MVP typically runs anywhere fr...
• 7 Signals It's Time to Reevaluate Your AI Agent Orchestration Platform

  by Justin Roy Aug 11

  "Outgrowing" an orchestration platform isn't about hitting an arbitrary agent count, it's about repeatedly hitting requirements your current architecture can't satisfy without fragile workarounds. That could mean policy enforcement that's too coarse, insufficient tracing, or identity and credential ...
• AI Is Reshaping Internal Developer Platforms — Here's How

  by Justin Roy Aug 10

  94% of organizations now see AI as critical to platform engineering's future. Platform teams are becoming the distribution point for vetted, secured AI coding tools across the org — instead of every dev team evaluating assistants on their own. This centralization means guardrails, approvals, a...