Tool Use - AI Conversations How To Get a Job in AI in 2026
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Jan 6, 2026 Discover how to navigate the evolving landscape of AI careers by 2026. Mike Bird shares his transition from software developer to AI leader, emphasizing the importance of building in public and creating standout resumes. Learn why traditional job applications may fall short and how to leverage networking and community involvement. Explore the skills needed for AI roles, from security audits to managing AI agent fleets, plus tips for older professionals looking to pivot. Dive into the consulting versus productization debate and get valuable advice on thriving in this fast-paced industry.
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Run AI Code Review In Your Pipeline
- Add AI reviewers into your CI/CD pipeline to catch bugs and security issues before deployment.
- Complement AI checks with unit, integration, and deployment testing to ensure safety.
Be Your Company’s AI Champion
- Become the AI champion at your company by learning tools that boost productivity and advising leadership on risks and benefits.
- You don't need deep model knowledge—be the domain expert who applies the right tools safely.
Compare Multiple AI Tools
- Use multiple AI assistants to cross-check outputs and expose different blind spots.
- Test a shortlist of tools against your golden dataset to find the best fit for each task.