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developer-experience.

8 writings found

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HydraFusion: How GitHub Copilot Now Routes Between Multiple AI Models

GitHub's new HydraFusion research preview intelligently orchestrates multiple AI models to balance cost, performance, and quality in coding tasks.

Canvases Over Chat: Building Durable AI Workflows

Why GitHub Copilot canvases represent a fundamental shift from chat-based AI interactions to persistent, governable workflows for developer teams.

AI Governance is a Developer Experience Problem

Why trust matters more than capability for AI agent adoption. How clear boundaries enable delegation and unlock productivity at scale.

Reading Code in the Age of AI: Why Human Review Still Matters

ThoughtWorks Radar reveals AI's paradox: tools generate complexity faster than we can understand it. Time to revisit fundamentals.

AI-Assisted Development: The Taste Problem

Why coding with AI agents works brilliantly for implementation but falls apart for API design. Lessons from building real systems with Claude.

The Supervisory Programmer: Managing Agents, Context Switching, and Cognitive Debt

Senior devs thrive with LLMs while mid-level careers face challenges. But can we really manage multiple AI agents without burning out?

The Three-Tier Developer Split: How LLMs Are Reshaping Software Teams

Junior devs gain mentors, seniors gain leverage, but mid-level developers face an existential challenge as AI agents reshape programming careers.

Context Engineering: The New Frontier in AI-Assisted Development

As coding agents evolve, context engineering becomes crucial. Here's what developers need to know about rules, skills, and the art of prompt curation.

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