Straight answers from our engineers
Expert, reviewed answers to the questions founders and engineering leaders actually ask - on building with AI, technical leadership, and hiring development teams.
Building with AI
Straight answers on building software with AI - production-readiness, code audits, AI agents, and choosing an AI-assisted partner.
8 questions →Tech Leadership
Architecture, code quality, technical due diligence, and engineering-leadership questions for CTOs and founders.
6 questions →Hiring & Engagement
Hiring, outsourcing, dedicated teams, and engagement models - how to build and scale development teams.
5 questions →CRM
Straight answers on CRM: what founders and teams actually want to know before getting started with planning and building a CRM solutions.
8 questions →Recently answered
How do you prepare your team for a CRM migration?
Prepare people as deliberately as data. Assign a data owner, clean records before you move them, build a phased migration plan with clear dates, and train reps on the new system before cutover, not after. Most failed migrations aren't technical failures; they're adoption failures, where the data moved fine but the team never truly switched over.
Read the answer →Is a custom CRM cheaper than off-the-shelf SaaS over time?
It depends on time and team size. Off-the-shelf SaaS is cheaper in the first year or two because you avoid build costs. A custom CRM becomes cheaper as you scale, because you stop paying per-seat fees that grow with every hire. For teams past roughly 50 users planning to grow, custom usually wins on total cost within three years.
Read the answer →After vibe-coding an MVP, should I hire a team to harden it?
Once your MVP has real users or paying customers, yes. Vibe coding is built for validation, not for production scale, and the moment real people depend on your app, it needs professional hardening. But hire based on traction, not fear: a dedicated team is the right step when the idea is proven and growth is real, not while you're still testing the concept.
Read the answer →What is vibe coding?
Vibe coding is building software by describing what you want to an AI tool (like Cursor, Lovable, or Bolt) in plain language and accepting the code it writes, often without reviewing it. Coined by Andrej Karpathy in February 2025, it's fast and ideal for prototypes, but risky for production without expert review.
Read the answer →Can a fractional CTO rescue a vibe-coded MVP?
Yes, and it's often the right first move. A fractional CTO gives you senior technical judgment part-time: they audit what you've built, decide what to keep, fix, or rebuild, and lead the work, without the cost of a full-time CTO. For a non-technical founder with a vibe-coded MVP and no in-house engineer, it's the fastest way to get an expert steering the ship.
Read the answer →How do you run technical due diligence on an AI-built product?
Treat an AI-built product like any acquisition, then add AI-specific checks. Assess code quality, security, scalability, and IP ownership as usual, but pay extra attention to whether anyone understands the codebase, whether it has tests, and who actually owns AI-generated code. You can run this yourself, but a fractional CTO does it faster and catches what an untrained eye misses. The biggest risk isn't bad code; it's a product no one can safely maintain or legally claim.
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