The build vs buy question in the era of AI coding
Should you build or buy your next Salesforce improvement?
A working prototype takes a small team a few weeks and a modest budget. A production-grade system takes 6+ months and several times that investment to go live, then a substantial ongoing cost, year after year, to run. The analysis and code generation aren’t the hard part anymore; the cost lives in everything around them: auth, integrations, monitoring, governance, and keeping it all alive as platforms change. Generating code isn’t the same as owning a system the business can trust. The real question isn’t whether you can build it, it’s whether you want to own it.
Weighing the tradeoffs? Filter to the factors that matter to you.
| Vibe | Buy | |
|---|---|---|
Speed to first version Vibe coding gets a prototype fast. But v1 is ~10% of total lifecycle effort. Strategic | Fast | Moderate |
Requirements discovery A disposable vibe-coded prototype is the fastest way to learn what you actually need before committing to anything. Strategic | Ideal | Premature |
Speed to production Hardening a vibe-coded prototype takes 2–4x the original build time. Operations | Slow | Fast |
Total cost of ownership Maintenance is 60–80% of lifetime cost. By year 2, unmanaged AI code hits 4x traditional maintenance costs. Cost | High | Predictable |
Experimentation cost Testing an idea costs an afternoon and some tokens, not three vendor demos and a procurement cycle. Cost | An afternoon | Procurement |
Per-seat pricing No license fees, but token costs, maintenance hours, and opportunity cost can exceed per-seat pricing. Cost | None | Per-seat |
Security posture CodeRabbit found AI code 2.74x more likely to introduce XSS flaws; Veracode found 45% of AI-generated samples fail OWASP Top 10 checks. Risk | Unvetted | Reviewed |
AppExchange security review Managed packages pass Salesforce's rigorous technical review. Custom code gets no external vetting. Salesforce | None | Passed |
Supply chain risk Slopsquatting, LLM poisoning, and compromised AI tool configs are active attack vectors. Risk | High | Low |
LLM provider dependency API pricing changes, model deprecations, and provider outages create ongoing instability. Risk | Exposed | Insulated |
Salesforce governor limits AI tools don't understand multitenant constraints. SOQL-in-loops and bulk trigger failures are common. Salesforce | Unaware | Optimized |
Seasonal release compatibility Salesforce ships 3 releases a year with breaking changes. Someone has to test and fix your code every cycle. Salesforce | Your problem | Vendor handles |
Bugfix speed Depends on internal capacity vs. vendor responsiveness. SLAs provide guarantees vibe coding can't. Operations | If you can | SLA-bound |
Uptime and SLA No SLA on internal code. Vendors contractually guarantee uptime and response times. Operations | No SLA | Guaranteed |
Ongoing support Vibe-coded tools have no support channel. Vendor support scales with your subscription. Operations | DIY | Included |
Employee churn resistance If the person who vibe-coded it leaves, institutional knowledge walks out the door. Strategic | Fragile | Resilient |
Subject matter expertise Vendors encode years of domain knowledge. AI tools replicate generic patterns. Strategic | Generic | Deep |
Stress-tested at scale Vendor solutions run across hundreds of diverse orgs. Your vibe-coded tool has a sample size of one. Strategic | Untested | Proven |
Customization and control Full control over your own code cuts both ways: every change you can make is a change you must maintain. Strategic | Full | Configurable |
Niche workflows When no vendor serves your exact process, building is the only option, and AI makes that build cheap. Strategic | Only option | May not exist |
Maintenance burden You own every bug, every upgrade, every compatibility issue. Forever. Operations | All yours | Vendor's |
Opportunity cost Every hour maintaining vibe-coded tools is an hour not spent on your core business. Cost | High | Low |
Technical debt trajectory GitClear measured an 8x jump in duplicated code blocks. Forrester's prediction that 75% of orgs would hit moderate-to-severe tech debt by 2026 has arrived. Risk | Compounding | Managed |
Managed package benefits Push upgrades, namespace isolation, code obfuscation, IP protection. Salesforce | None | Built-in |
Across all 24 factors, buying comes out well ahead, 16 advantages to 5, with 3 that depend.
Full disclosure: we’re a Salesforce AppExchange vendor, so of course we’d suggest buying from a proven partner. We still think the tradeoffs above speak for themselves, and if you’d rather pressure-test them with a real human than take our word for it, we’re glad to talk.
Talk to a humanSources: Veracode 2025 GenAI Code Security Report · CodeRabbit State of AI vs Human Code Generation · GitClear AI Code Quality Research · Forrester Technology & Security Predictions