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Software Development

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Community Posts

What is the most interesting/helpful/unique tool you're using right now that no one is talking about?

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What’s the best software development methodology for enterprise-level projects?

Waterfall13%

Prototype19%

Rapid Application Development6%

Agile Scrum45%

Agile Kanban8%

Dynamic System Development1%

Lean Software Development2%

Other .. please add it down2%

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What are the best tools to use for sprint planning (engineering / design / product management)?

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I'm building most on... share "why" in comments...

Public Cloud72%

Private Cloud27%

Open Response: What SaaS tool could you/your organization truly not live without?

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Has anyone had any success with evaluating the impact of using Generative AI tools such as GitHub's Copilot on the productivity or performance impact on developers? I see a lot of qualitative discussions about how developers say they are more productive, but how are you measuring that impact?

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What do you think about “vibecoding”? Is this a new way of building software, or another name for no-code development?

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What's your personal philosophy on when it's best to build, buy, or subscribe?

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How shouldn't you do DevOps?

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Do you have any bot based solution ( e.g. chat bot ) on your company? If so please describe how it was built.

Yes60%

No34%

We have plans5%

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Will microservices ever arrive?

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Has anyone written a charter for programming documents? Any advice and/or examples are welcome!

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When do you build capabilities vs buy apps/services - what are deciding factors?

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How do you assess the way an individual software staff member’s performance impacts their team’s success, especially in regards to team culture?

AI Coding Assistants: Velocity or Vulnerability?

Latest research reveals a hidden feedback loop threatening software security:
The Evidence: • ≈33% of Copilot suggestions echo CWE Top-25 flaws (Asare et al., 2024) • ~50% of LLM code snippets contain exploitable bugs (CSET, 2024) • Developers with AI help feel more confident while shipping less secure code (Stanford, 2023)
The Systemic Risk: Flawed AI output is pushed to public repositories, polluting the next model's training data—risk compounding with every release cycle.

What leading teams are doing this quarter:
1. Audit AI-tool usage and establish approved lists
2. Insert AI-aware SAST (e.g., Snyk Code, Semgrep Assistant) into IDEs and CI/CD pipelines
3. Adopt OWASP LLM Top 10 + MAESTRO for threat modeling
4. Track percentage of AI-generated code and its defect rates

Question: How are you measuring AI-generated technical debt today, and what is your plan to stop it from becoming tomorrow's supply-chain crisis?

Share metrics or tools that worked for you.

Where do software development managers typically need the most coaching, in your experience?