AI
7 articles
Looking for implementation help with AI?
View capability overview
Workflow vs Agent for LLM Integration: Start With a Workflow
For most business LLM integrations, start with a workflow. Use an agent only when the system must plan, choose tools, and adapt across steps.
Cursor vs Codex for a 15-Person US SaaS Team
Choose Cursor if your team works in the editor. Choose Codex if you want agent-style work with a stricter review handoff.
LLM Integration Cost in 2026: API Spend vs Engineering Time
LLM integration cost is usually driven more by engineering time than token pricing. Budget API spend, tool overhead, evals, logging, approvals, and human fallback.
Codex vs GitHub Copilot for a 20-Person SaaS Team: Which One Keeps Spend Predictable in 2026?
Codex vs GitHub Copilot for a 20-person SaaS team in 2026. See which one is easier to budget, where overages appear, and when token pricing is worth it.
Cursor Teams vs GitHub Copilot Business: which gives a 20-person SaaS team more predictable spend?
For a 20-person SaaS team, GitHub Copilot Business is usually easier to budget than Cursor Teams. Here is the practical tradeoff between seat cost, usage, and workflow.
Claude Code vs Codex for a 15-Person SaaS Team
Most 15-person SaaS teams should standardize on Codex for routine PR work. Choose Claude Code when planning, refactors, and cross-service changes drive more value than fast review loops.
How to Interview Engineers Who Use Cursor, Claude Code, or Codex
Interview engineers who use Cursor, Claude Code, or Codex by allowing AI and scoring judgment, debugging, code review, and communication in a live repo exercise.