THE BOUNDEV JOURNAL
The engineering
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Earlier writing on software, hiring, and building AI. Articles retain their original URLs and publication dates; some historical offers and references are outdated.
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AI engineer salary in 2026: what senior talent actually costs
AI engineer pay by level and region in 2026, the fully loaded cost of a hire, and the point where a subscription team costs less than a headcount.
Silent failures: why your AI agent's worst bugs never throw
The worst AI agent bugs never throw an error. The three shapes silent failures take, and four moves to make agents fail loudly, not confidently.
Per-tenant LLM cost caps for multi-tenant SaaS
How to meter, cap, and bill LLM spend per tenant in multi-tenant SaaS: tenant_id on every call, a Redis quota store, and gateway-level enforcement.
How to cut vector database cost with quantization and truncation
Binary quantization and Matryoshka truncation can shrink a vector store up to 32x or more. How to cut vector database cost without wrecking recall.
How to sandbox AI agents that execute code in production
When an AI agent can run code or call side-effecting tools, one wrong decision can wreck production. Sandboxing and least-privilege scoping keep the blast radius small.
Citations and confidence: the AI feature trust layer
Sources, deep links, and calibrated confidence are the trust layer of an AI feature. Here is how to build them so users verify instead of guessing.
Who can use the AI feature? Access control for SaaS
AI features bypass your existing roles. Here are the three access layers and the resource-level checks that keep users inside their permissions.
What your AI feature does when the model fails
Failover, fallback, and a degradation ladder so your AI feature stays usable when the model 500s, rate-limits, or slows down.
Multi-agent AI systems fail at the handoff, not the model
Multi-agent AI systems break at the seam between agents, not in the model. How to engineer the handoff with task ownership, a typed contract, and a loop budget.
Who owns your AI code when the engagement ends?
IP assignment, model artifacts, and knowledge transfer decide what you keep when an AI contractor or subscription team leaves. A founder's checklist for owning your own s
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