Sourced artificial intelligence and software context
Models, products, and production services: Salesforce Developer
The City of San Jose identifies artificial intelligence as a priority growth sector and includes AI training and job-matching programs in its fiscal year 2025 to 2026 economic plan. Map the local business process to objects, sharing, automation, and user experience. Ask the developer to explain where code is justified and where platform configuration produces a safer result. AI product work can join source data, models, application code, evaluation, user feedback, cost controls, access rules, and production support under separate owners.
Evidence to request: Review a redacted Apex or Lightning example and ask about limits, security, testing, and maintainability. Define the user decision, model boundary, source data, evaluation set, deployment path, access control, cost target, failure response, and approving product owner.
Sourced semiconductors and advanced manufacturing context
Engineering, fabrication, and supply controls: Salesforce Developer
A July 2025 City of San Jose economic-development release names advanced manufacturing and semiconductors among the industries the city plans to attract, retain, and grow. Define integration volume, direction, authentication, and failure handling. Require evidence from APIs, events, middleware, or batch interfaces comparable to the opening. Semiconductor and manufacturing programs may connect product definitions, equipment, process recipes, production schedules, quality results, suppliers, inventory, maintenance, and cost records.
Evidence to request: Use an integration exercise with duplicate events, retries, access failure, and partial processing. Set the design or plant boundary, product revision, process control, equipment interface, traceability unit, quality release, supplier handoff, change window, and support owner.
Sourced data centers and energy infrastructure context
Capacity, continuity, and facility operations: Salesforce Developer
San Jose's July 2026 large energy-use project page distinguishes data centers from research laboratories, advanced manufacturing sites, electric-vehicle charging hubs, and other power-intensive facilities. Set code-quality and release expectations. Candidates should discuss bulk behavior, governor limits, test design, deployment dependencies, data fixes, and monitoring after release. These facilities can combine power, cooling, networks, physical security, capacity, asset maintenance, environmental controls, backup systems, and tenant or workload commitments.
Evidence to request: Ask for a release defect with the failing test or signal, root cause, repair, and prevention added to the pipeline. Name the facility and workload boundary, capacity unit, power and cooling dependencies, availability target, access model, maintenance path, recovery test, and change authority.