This is the single biggest fork in the decision. Tools like Cursor, Claude Code, Copilot, and Tabnine are built to work inside a codebase you already have, respecting existing architecture and conventions. Builders like Lovable, Bolt.new, and Replit assume you're starting from near-zero, generating the scaffolding, database, and deployment setup alongside the code itself. Mixing up the two categories leads to frustration: trying to use a prompt-to-app builder for a large legacy codebase, or expecting a codebase-focused agent to handle hosting and deployment on its own.

More control generally means more setup, and less control means faster results with less flexibility later. Editor-native tools like Cursor and Windsurf give full access to the file system, git history, and configuration. Browser builders trade some of that control for speed, handling infrastructure decisions behind the scenes. Teams with strict architecture standards or complex existing systems tend to need the former; solo builders validating an idea often prefer the latter.

Enterprise teams in regulated industries should prioritize tools with clear data handling commitments and deployment options, since code exposure risk varies significantly across tools. Tabnine's on-premises option addresses this directly, and GitHub Copilot's enterprise tier includes admin controls suited to larger organizations. Smaller teams and individual developers can weigh this less heavily, focusing instead on workflow fit and cost.

Advertised starting prices rarely reflect real usage. Agent-based tools increasingly charge by usage credits or request volume once a base allowance is used up, so a $20/month plan can become significantly more expensive under heavy agentic use. Before committing, check whether a plan caps requests, tokens, or compute time, and what happens once that cap is hit: a hard stop, a slowdown, or overage billing.

Model access varies by plan tier, and it changes often. Some tools bundle a single model at the base tier and gate access to stronger frontier models behind higher-priced plans, while others let any plan switch between providers. Check whether the specific integrations you rely on (GitHub, Supabase, Stripe, a particular deployment target) are included at your plan level or require an upgrade.

Run a real task from your own backlog, not a toy example, before deciding. A quick way to compare tools honestly is picking one bug fix and one new small feature from an actual project, then running both through each candidate tool under evaluation. Pay attention to how each tool handles your project's actual conventions, existing test suite, and dependency quirks, since generic demos rarely reveal how a tool performs against a codebase with real history and constraints.