Ask More. Build Better. Burn Out Less.
The fastest teams are not the ones that type the most — they're the ones that reduce uncertainty early.
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The Burnout Epidemic
76% of employees experience burnout. This is the crisis we need to name before we can fix it.
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Two Pressures: Learning Debt & Delivery Debt
Two forces that look different but reinforce each other — and together they crush teams.
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AI: Friend, Not Foe
Reframing the narrative — AI does not replace developers, it removes the work that was burning them out.
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Rule Zero: You Own the Code
Before any AI workflow, one grounding principle: responsibility never moves. You own what ships.
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Four Modes, One Mission
The system: Plan, Ask, Edit, and Agent mode — each one designed to reduce a specific kind of mental load.
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Plan Mode: Reduce Decision Fatigue
Turn "I don't know where to start" into a concrete, executable TODO list — with a Spec Kit for consistency.
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Demo: Plan Mode in Action
A vague auth request from The Boss becomes a structured, reviewable plan in minutes. Watch it happen.
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Ask Mode: Judgment-Free Learning
A safe space to ask anything. The goal is understanding, not dependence — confidence built one question at a time.
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Demo: Ask the Duck
Spot a subtle mutable-default-argument bug, get it explained at three levels of depth, and actually understand the fix.
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The Mentor Loop
What just happened in that demo? Not just asking for answers — running a structured loop that builds capability.
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Agent Mode: Multi-Step Work
When the task spans files, requires iteration, and includes verification — this is where Agent Mode shines.
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Agent Mode in Practice
Concrete real-world scenarios: refactoring, test generation, codebase migrations, and more.
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Demo: The Fleet
Refactor logging across a whole codebase. Watch Agent Mode scan, implement, test, self-correct, and commit.
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The Right Way to Use AI
Power is not the risk — using it poorly is. A checklist for staying in control while moving fast.
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The Three Waves of AI
From pair programmer to autonomous agent — which wave are you in, and what does it mean for how you work?
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Demo: Multi-Agent SDLC
Three agents. Parallel branches. Security, contracts, and regression — all running simultaneously with human gates.
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Culture is the Real Unlock
The best AI workflow in the world won't save a team where people are afraid to ask questions.
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Your Playbook by Role
Juniors, seniors, tech leads — the same tools give different superpowers depending on where you sit.
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Your Action Plan
Concrete steps to take back to work this week — for every seniority level on the team.
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Build Better. Support Each Other. Thrive.
The final message: this is not just about productivity. It's about building a sustainable, human-centred craft.
Read more →About Michelle Sandford
Developer Engagement Lead @ Microsoft · TEDx Speaker · Keynote Speaker · AI Developer
Michelle Sandford is a Developer Engagement Leader who writes code, builds with GitHub and Azure AI, and learns out loud. She believes shipping is better than talking about it.
- A community builder, connecting MVPs, user groups, universities, and developer communities into thriving ecosystems.
- A technical storyteller, shaping how the world talks about AI-powered engineering and Azure innovation.
- A program strategist, designing scalable, repeatable motions that help developers grow confidence at pace with a rapidly evolving industry.
- A bridge between engineering and the field — making sure developers feel heard, supported, and empowered from the first line of code to final production push.