I Can Do Anything Now: How AI Renewed One Netflix Developer's Love for Engineering


Issue #2

I Can Do Anything Now: How AI Renewed One Netflix Developer's Love for Engineering

In a rapidly evolving tech landscape, the ability to adapt and leverage new tools is more crucial than ever. The latest podcast episode of “Automate Yourself Out of a Job and Into a New Career,” hosted by Dina Levitan and Chill Labs, features a compelling conversation with Deonna Hodges, a senior software engineer at Netflix and a passionate advocate for AI and automation. Deonna’s journey offers a roadmap for professionals seeking to not only survive but thrive in the age of AI.

This in-depth blog post distills the main themes and actionable insights from the episode, providing a comprehensive guide for anyone looking to harness AI and automation to elevate their work, foster innovation, and future-proof their career.

Listen to the full episode at:

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I Can Do Anything Now: How A...
Jul 28 · Automate Yourself
26:55
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Table of Contents

  1. Embracing AI: From Experimentation to Daily Workflow
  2. Overcoming Skepticism and Fear: Shifting the Mindset
  3. Practical AI Adoption: Workshops, Pair Programming, and Knowledge Sharing
  4. Maximizing Productivity: Real-World Use Cases for AI Tools
  5. Building Beyond the Tech Bubble: Democratizing Automation
  6. Redefining Your Professional Identity: Focusing on Human Skills
  7. Action Steps: How to Start Automating Your Work Today
  8. Conclusion: Automate Yourself Into the Future

1. Embracing AI: From Experimentation to Daily Workflow

Deonna Hodges’ journey with AI began as a curiosity—experimenting with GPT-3 to write poems. But when ChatGPT and other advanced models became available, she quickly recognized their potential for software engineering tasks.

Key Takeaways:

Start Small, Scale Fast: Begin by experimenting with AI tools in low-stakes scenarios (e.g., generating documentation, simple code snippets).

Integrate AI into Daily Tasks: Deonna uses Claude and GPT models for:

- Debugging code

- Writing and refining documentation

- Drafting technical specifications

- Analyzing unfamiliar codebases for faster onboarding

- Iterative Learning: The more you use AI, the more you discover its strengths and limitations. This iterative process is essential for mastery.

Expert Insight:
Deonna’s early adoption was driven by a sense of excitement and possibility, not fear. She saw AI as a way to reignite her passion for engineering and tackle burnout.


2. Overcoming Skepticism and Fear: Shifting the Mindset

A recurring theme in the episode is the emotional landscape surrounding AI adoption. Many technologists are skeptical or fearful, worried about job security or the learning curve.

Strategies to Overcome Resistance:

- Acknowledge the Fear: It’s normal to feel threatened by disruptive technology. But as Deonna notes, “avoiding AI out of fear is counterproductive.”

- Reframe AI as an Opportunity: Rather than seeing AI as a competitor, view it as a collaborator that can automate repetitive tasks and free you for higher-impact work.

- Challenge Negative Narratives: Deonna points out that studies showing AI slows down coding often ignore the learning curve. With practice, productivity soars.

Actionable Advice:

- Engage, Don’t Avoid: The only way to stay competitive is to actively learn and experiment with AI tools.

- Share Experiences: Openly discuss successes and failures with peers to normalize AI adoption.


3. Practical AI Adoption: Workshops, Pair Programming, and Knowledge Sharing

At Netflix, Deonna noticed that while some engineers used AI tools privately, there was little open discussion or knowledge sharing. She took the initiative to bridge this gap.

How Deonna Drove AI Adoption:

- Organized Hands-On Workshops: Focused on real-world use cases, such as resolving bugs and handling merge conflicts.

- Pair Programming Sessions: Helped colleagues install and use AI coding assistants like Claude, demystifying the process.

- Concise, Actionable Training: Avoided lengthy theoretical presentations in favor of quick, practical demonstrations.

Results:

- Increased confidence and competence among team members.

- Custom AI prompts tailored to Netflix’s coding standards.

- A culture of experimentation and continuous improvement.

Expert Tip:
If you’re introducing AI tools to your team, prioritize hands-on learning and real examples over abstract theory.


4. Maximizing Productivity: Real-World Use Cases for AI Tools

Deonna’s workflow has been transformed by AI, allowing her to accomplish in under an hour what used to take days.

Key Use Cases:
- Documentation: AI generates clear, comprehensive documentation, reducing ambiguity and onboarding time.
- Code Analysis: Quickly understand unfamiliar codebases, accelerating integration and troubleshooting.
- Presentations: Prepare technical and non-technical presentations efficiently, tailoring content for diverse audiences.
- Bug Resolution: Use AI to suggest fixes, explain errors, and even automate parts of the debugging process.

Impact:
- Time Savings: Significant reduction in time spent on routine tasks.
- Leadership: Deonna became a go-to resource for AI troubleshooting, enhancing her influence within the team.
- Side Projects: Freed-up time enabled her to pursue passion projects and content creation.


5. Building Beyond the Tech Bubble: Democratizing Automation

Deonna is passionate about expanding access to AI and automation beyond traditional tech hubs.

Why This Matters:
- Diverse Perspectives: The tech industry often builds tools for itself, missing out on broader societal needs.
- Empowering Non-Traditional Users: Deonna’s projects, like Hello Table (a community dinner organizer for small towns), show how automation can address real-world problems outside Silicon Valley.

Recommendations:

- Encourage Non-Tech Creators: Support and mentor people from diverse backgrounds to build their own tools.

- Focus on Real Needs: Look for opportunities to automate tasks in under-served communities or industries.

Community Insight:
Communities like Women Building AI are already shifting the focus from traditional startups to practical, impactful applications, such as tools for caregivers and families.


6. Redefining Your Professional Identity: Focusing on Human Skills

As automation takes over routine tasks, Deonna emphasizes the importance of cultivating skills that AI cannot replicate.

Key Human Skills:
- Interpersonal Relationships: Networking, mentorship, and collaboration remain irreplaceable.
- Creativity and Empathy: Understanding user needs and designing meaningful solutions.
- Leadership: Guiding teams through change and fostering a culture of innovation.

Career Advice:
- Automate the Routine, Elevate the Human: Use AI to handle repetitive work, freeing yourself to focus on strategic, creative, and relational aspects of your role.
- Continuous Learning: Stay curious and adaptable—skills that will always be in demand.


7. Action Steps: How to Start Automating Your Work Today

Ready to embrace AI and automation? Here’s a step-by-step guide:

1. Assess Your Workflow

  • Identify repetitive, time-consuming tasks.
  • Ask yourself: What could I automate to free up 30% of my time?

2. Experiment with AI Tools

  • Try AI coding assistants like Claude, ChatGPT, or Copilot.
  • Use them for documentation, code review, or bug fixing.

3. Share and Collaborate

  • Organize or join workshops and pair programming sessions.
  • Share your experiences and learn from others.

4. Build Custom Solutions

  • Create prompts or scripts tailored to your team’s standards.
  • Explore building small SaaS tools for your own needs or your community.

5. Focus on Growth

  • Use the time saved to pursue higher-impact projects, learn new skills, or mentor others.

8. Conclusion: Automate Yourself Into the Future

Deonna Hodges’ story is a testament to the transformative power of AI and automation. By embracing these tools, she not only enhanced her productivity and reignited her passion for engineering but also became a leader and innovator within and beyond her organization.

Key Takeaways:

- Don’t fear automation; use it to your advantage.

- Share knowledge and foster a culture of experimentation.

- Focus on uniquely human skills to stay relevant and fulfilled.

- Look beyond the tech bubble to build tools that matter.

Ask yourself: If you could automate away 30% of your current tasks, what higher-impact activities would you pursue?

The future belongs to those who proactively embrace change and leverage automation to evolve their careers and lives.

Find Deonna online:
Instagram: https://www.instagram.com/deonnahodges
TikTok:
https://www.tiktok.com/@deonnahodges
YouTube:
https://www.youtube.com/@deonnahodges


Want to go deeper?
The Automate Yourself newsletter shares practical guides, real-world automation stories, and mindset shifts to help you turn uncertainty about AI into opportunity. Share this publication with someone who's interested in automation and the AI future at: newsletter.chillaborate.com

By learning from leaders like Deonna Hodges, you can automate yourself out of a job, and into a new, more meaningful career.

Until Next Time!

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Chill Labs

Chill Labs is a boutique consultancy helping companies think strategically, solve business problems, and streamline operations utilizing Product Management, Software Engineering principles and AI. Combining a decade of experience running complex, globally distributed software products with expertise in product discovery, user research, and strategy, Chill Labs helps companies build products that users want and do so in a way that supports growth and scale. Dina Levitan, Founder and Principal at Chill Labs, based out of Seattle, WA, brings over 15 years of experience as a product and technical leader ranging from startups to companies like Google.

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