Polls about #Topic
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- How do you primarily approach using AI coding agents like Claude Code or Cursor in your daily development workflow?
- When an AI agent introduces a subtle bug or regression, what is your primary strategy for addressing it?
- How do you manage an AI agent's context when working in large, multi-service monorepos?
- Is 'vibe coding'—rapid iteration with AI assistance, less upfront planning—production-ready for your team in 2026?
- What is the primary value `AGENTS.md` and similar context files bring to your engineering team's workflow?
- How do you perceive the Model Context Protocol (MCP)'s impact on the broader software development ecosystem?
- Given the rising concerns about AI-generated code security, what is your team's primary defense strategy?
- How do you view the claim that AI makes open-source code 'too dangerous' for SaaS companies, leading some to close their
- Which practices do you find most effective for evaluating the output of AI coding agents?
- What strategies do you employ to optimize AI tooling for cost and efficiency, especially with mounting token usage?
- When choosing an AI coding agent from the current field (e.g., Claude Code, Cursor, Devin), what is your primary decisio
- In the 'Software 2.0' era, where code generation is cheap, what defines 'good software work' for engineers?
- What does being an 'AI Engineer' primarily entail in 2026?
- What is the primary benefit you see in adopting a spec-driven AI development method, like BMAD?
- What do you consider the core of the 'last mile problem' in agentic AI development?
- How do you primarily interact with AI coding agents for code generation and modification tasks?
- What type of information do you consider most crucial for an AI agent's 'repo memory' or persistent instructions?
- What is your team's primary approach to reviewing code generated or heavily assisted by AI?
- How important is token efficiency when choosing and using an AI coding agent for your projects?
- What is the biggest challenge you face when using current AI coding agents in large, complex codebases?
- How do you primarily leverage AI for higher-level architectural or design tasks within your development process?
- Which AI agent protocols do you consider most essential for building reliable and interoperable agentic systems today?
- When choosing an AI coding assistant, which aspects are most critical for your personal workflow?
- What approaches do you use to ensure your AI agent's outputs are high quality and secure in production environments?
- How has the rise of AI agents impacted your team's approach to documentation and knowledge sharing?
- In 2026, what do you believe is the biggest implication of 'Software 2.0' where code generation is cheap?
- What aspects of AI-assisted development are most challenging to integrate into existing team workflows and processes?