How do you vet a dedicated or offshore team’s code quality, especially AI-generated code?
Reviewed by Lokesh DudhatJudge process and proof, not promises. Review a real code sample, ask exactly how they test and review code, check references from similar projects, and run a small paid trial before committing. For AI-generated code specifically, confirm a human reviews every AI suggestion and that quality gates apply equally. A short trial reveals more than any sales call.
Why promises aren’t enough
Every team says their code is high-quality. What separates them is evidence and process, whether they can show you good work and describe a rigorous method for producing it. As a buyer, especially a non-technical one, you assess quality indirectly through these signals rather than by reading code yourself.
The four checks that work
- Review a code sample. Ask for a representative sample (or have a trusted technical person review it). Even non-experts can note whether it’s documented and organized versus chaotic.
- Ask about their process. How do they test? Who reviews code before it merges? What’s their CI and security setup? A confident, specific answer signals maturity; vagueness signals its absence.
- Check relevant references. Talk to past clients with similar projects. Ask specifically about code quality, maintainability, and what happened after handoff.
- Run a small paid trial. A one-to-two-week paid task shows you how they actually work, communicate, and deliver, far more reliably than any pitch. It’s the single most revealing step.
The AI-specific layer
If the team uses AI coding tools (most good ones now do), add these questions:
- Is every AI suggestion human-reviewed? The answer must be yes. AI drafts; a senior engineer decides.
- Do quality gates apply to AI code? Tests, security scans, and review should treat AI-generated code exactly like hand-written code.
- Can they explain what the AI produced? A team that understands its own AI-assisted code is safe; one that can’t explain it is a future maintenance problem.
Reading the trial
During the paid trial, watch for clear communication, code you or your reviewer find clean, sensible questions about your requirements, and honesty when something’s unclear. These behaviors predict the whole engagement. A team that does careful work on a small task will do careful work on a large one.
Key takeaways
- Assess process and evidence, not promises: sample, process, references, trial.
- A small paid trial reveals real quality better than any sales conversation.
- For AI code, confirm every suggestion is human-reviewed and passes the same quality gates.
- A team that can't explain its own AI-generated code is a maintenance risk.
Want to hire a team you can trust with your codebase?
Talk to Satendra and team, and start with a small trial to see how we work.
Satendra Bhadoria is the Co-Founder and Chief Operating Officer at SolGuruz, bringing over a decade of experience in large-scale operations and delivery management within the global BPO and services industry. Before co-founding SolGuruz, he managed large delivery teams supporting clients across the United States, Europe, and Australia. At SolGuruz, Satendra oversees delivery governance, quality frameworks, hiring and staffing models, offshore development center (ODC) setups, and client engagement practices. His day-to-day work revolves around execution discipline, process maturity, delivery reliability, and building team structures that scale effectively for both startups and enterprises. He is also actively engaged in domain-driven delivery initiatives, including real estate technology platforms, property workflow systems, and operations-focused digital solutions areas, where process clarity and dependable execution are critical for long-term growth. He also contributes as a core member of the Uttar Bharatiya Business Network (UBBN), engaging with business leaders and entrepreneurs on operational practices, collaboration models, software solutions, and sustainable growth strategies. This involvement keeps his perspective grounded in real business operations beyond software delivery.
