claude.ai for developers

claude.ai is the web interface for Claude. For developers it’s most useful for tasks that don’t need filesystem access or tool execution — architecture discussions, document review, writing, research, and synthesizing information from multiple sources. Claude Code is the right tool when you need to touch a codebase; claude.ai is the right tool for everything else.

Projects

A Project is a persistent context container in claude.ai. You set a system prompt and can add documents, and every conversation in the project starts with that context pre-loaded.

Useful for:

• Long-running side projects where you want Claude to remember your tech stack and decisions across sessions
• Keeping context for a specific task area (e.g., all your marketing copy conversations for one product)
• Shared team knowledge when team members work on the same Claude Pro/Team account

Limitations:

• Project context is not synced with your actual codebase — it’s static documents you upload, not live file reads
• Doesn’t replace CLAUDE.md for Claude Code sessions — those are separate
• Pro/Max users get Projects; check current limits at claude.ai

Setup: Add your key project documents (architecture overview, API reference, design decisions) as uploaded files in the Project. Write a system prompt that establishes context and preferred behavior.

Artifacts

When Claude generates content that stands alone — code snippets, documentation, diagrams, HTML pages — it can render it as an Artifact: a sidebar panel you can edit, copy, or export independently from the conversation.

Useful for:

• Iterating on a document or page without cluttering the conversation
• Generating and testing HTML/JS/CSS in a preview pane
• Exporting polished content (blog posts, READMEs, specs) directly
• Visualizing data as charts or tables

For developers, Artifacts are most valuable during design and documentation phases — not for code that needs to run in your environment (use Claude Code for that).

Research mode

Research mode sends Claude on a multi-step web research task: it formulates search queries, reads multiple sources, synthesizes findings, and presents a structured report with citations. It takes minutes rather than seconds.

Useful for:

• Competitor analysis (“what do the top 5 multiplayer game backends offer?”)
• Technology evaluation (“compare Nakama vs Colyseus for a card game backend”)
• Customer research synthesis
• Understanding a market before building in it

Not useful for:

• Quick factual lookups (regular Claude is faster)
• Codebase research (Claude Code, obviously)
• Anything requiring private data access

Research mode is a Pro/Max feature. The results are more thorough than a single Claude response but less targeted than your own research — use it for initial orientation, not final decisions.

Skills (in claude.ai)

Skills are slash commands available in claude.ai conversations, similar to Claude Code’s bundled skills but for the web interface. Examples: /summarize, /translate, /reformat.

For developers: less relevant than Claude Code’s skill system. The web-based skills are primarily productivity shortcuts, not developer tools.

Connectors

Connectors let claude.ai access external services: Google Drive, GitHub, Jira, Slack, and others. When connected, Claude can read documents and data from those sources without you copy-pasting.

Useful for:

• Asking Claude to analyze a Google Doc you’re working on
• Reviewing GitHub issues and PRs in a conversational interface
• Synthesizing Jira ticket context for a planning session

For side project work: Connectors are most useful when your project data lives in these services and you want to ask strategic questions about it — not for code execution. Compare an MCP server in Claude Code (direct tool calls during coding) vs. a Connector in claude.ai (conversational access to documents).

When to use claude.ai vs Claude Code