The bill for AI-written code is coming due
AI-generated code technical debt: how to audit a vibe-coded codebase, what the audit checks, and how to decide between refactoring and rebuilding.
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DGTL Blog
What we learn where the practices meet: engineering, AI, growth, and security, one post a week.
AI-generated code technical debt: how to audit a vibe-coded codebase, what the audit checks, and how to decide between refactoring and rebuilding.
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Agentic UX design for B2B products: why the chat box fails as a default, the six patterns that build trust in AI agents, and when to ask for approval.
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SOC 2 and ISO 27001 for B2B companies selling across the US and EU: when you need both, how much control overlap you can reuse, and the efficient order.
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AI-ready data explained: why agent projects stall on data quality and governance rather than models, and the minimum a mid-market team needs to fix first.
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Sales tech stack consolidation in 2026: the platform wave, how many tools a B2B sales team really needs, and a 90-minute audit to cut overlap safely.
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AI implementation cost for mid-market B2B: the line items pilots hide, why data prep eats half the budget, and a TCO framework that survives review.
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When should a B2B company use an outside partner vs. build in-house? Here's a decision framework based on stage, function, and economics, not ideology.
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Generative Engine Optimization for B2B: how AI assistants choose sources, content patterns that earn citations, llms.txt, and measuring AI-referred traffic.
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Not all technology consulting partners are equal. Here's a practical framework for evaluating them, including the red flags that signal you'll waste money.
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A practical guide to B2B product MVP development: architecture decisions, tech stack, timeline, and cost, from a team that's shipped them for fintech, healthtech, edtech, and commerce companies.
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When should you hire a fractional executive vs. a full-time one? What does it cost? What do they actually do? A practical guide for B2B SaaS founders.
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How we moved our own site to withdgtl.com without losing rankings: an 87-reference audit, 301 strategy, Search Console change of address, and DKIM continuity.
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The EU AI Act is here. NIST has published its AI Risk Management Framework. Here's what B2B companies deploying AI features actually need to do, before compliance becomes mandatory.
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B2B attribution after iOS privacy changes and third-party cookie loss: first-party capture, consent mode, UTM discipline, and what to measure instead.
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The old outbound playbook is dead. Here's how B2B companies are using AI-powered tools like Clay, Apollo, and intent data to build outbound engines that generate 12%+ reply rates.
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A bilingual content strategy for US and LATAM: why translated content fails, transcreated content ranks, keyword research per locale, and hreflang done right.
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Most AI pilots never reach production. Why they stall (no owner, demo data, no evals, no cost model) and a 90-day roadmap to ship or kill yours.
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When compliance isn't optional, every architecture decision matters. Here's how to build B2B products for fintech and healthtech without sacrificing speed or creating technical debt.
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Siloed agencies create siloed products. Here's how combining engineering, design, growth, and security from day one leads to better outcomes, and why the vendor-juggling model is broken.
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Why most design systems die in Figma, and how token-first architecture, component parity, and dark-mode constraints keep yours alive in production code.
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GDPR compliance for B2B companies doesn't require a 6-month project and a €50K consulting engagement. Here's what you actually need, and what you can skip.
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BigQuery or Snowflake, Fivetran or Airbyte, dbt, and when you don't need a CDP. The data stack a 20 to 500 person B2B company actually needs, with real costs.
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Most B2B companies spend 80% of their energy acquiring customers and 20% keeping them. Here's how to flip that ratio, with systems that catch churn before it happens.
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Why most B2B marketing teams run campaigns instead of building systems, and how to create a repeatable growth engine that connects every dollar to pipeline and revenue.
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Why RAG demos work and production breaks: data freshness, chunking, retrieval quality, evals, and cost per query. What a production-grade pipeline needs.
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Choosing a headless commerce platform for B2B? Here's an honest comparison of Medusa, Saleor, and Shopify Hydrogen, with specific guidance on when each one makes sense.
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Quito isn't a cost play. It's a structural advantage: UTC-5 every day of the year and never more than an hour from your East Coast team, a dollarized economy, free trade agreements into the US and EU, and bilingual delivery. Here's the case.
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Your product has strong retention and great NPS, but your website converts at 0.8%. Here's how brand design directly impacts revenue, and what to do about it.
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SOC 2 doesn't have to mean a 6-month feature freeze. Here's how we help SaaS startups get compliant in 90 days while still shipping product.
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Every Monday your exec team argues about metrics. Here's why your numbers don't match, how to build a data foundation that everyone trusts, and where to start.
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Your sales team is closing deals, but your process is a mess. Here's how RevOps transforms B2B sales from unpredictable hustle into a system that scales.
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SEO for B2B isn't dead, it's evolving. Here's how topic clusters, long-form content, and GEO work together to drive pipeline in the age of AI search.
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Most AI chatbots are glorified FAQ pages. Here's how to build AI agents that actually do work, and why the distinction matters for B2B companies.
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Multi-tenancy is the most expensive thing to get wrong in SaaS architecture. Here's how to design for it from day one, and avoid the rewrite that kills engineering velocity.
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We write about what we solve every week. If you're in the middle of one of these problems, let's talk.