Agentic Coding

Running 3–5 Claude Code sessions in parallel using git worktrees is the biggest productivity unlock, with native worktree support built in—name your worktrees, use shell aliases to jump between them, and enable terminal notifications. Start complex tasks in plan mode (Shift+Tab) and invest effort into the plan before execution; the Claude Code team uses Opus with thinking for everything because less steering plus better tool use equals faster overall results despite the larger model. Invest in a CLAUDE.md file checked into git where your team documents every correction Claude makes, so it learns not to repeat mistakes—this compounds over time as each correction makes future sessions better. Use the /effort command to choose your reasoning depth (high for standard work, xhigh for complex agentic tasks, max for hard debugging), and enable verification through domain-specific tools like test suites, browser testing with the Chrome extension, or the /simplify command to review code quality in parallel. Automate repeated workflows by turning daily tasks into skills (stored in .claude/skills/) and create subagents for common PR workflows or specialized concerns like code review. Configure CLAUDE.md with team learnings, use /memory for auto-memory between sessions, and leverage custom agents with specific system prompts for different roles—all checked into git so the team benefits from shared configuration and practices.

Productboard's Spark agent integrates with coding agents like Claude Code and Cursor through an MCP server, enabling these tools to access live product specifications and convert specs into technical implementation plans or prototypes. The agent grounds PRD creation in actual codebase analysis, customer feedback, and product documentation, surfacing technical requirements and flagging unresolved decisions rather than making assumptions. Users report that spec generation that previously took a week now takes a day, with the agent providing consistent best practices and context-aware insights that reduce back-and-forth with engineering teams.