Changelog Master Feed Opus 4.5 changed everything (Changelog Interviews #678)
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Feb 27, 2026 Burke Holland, a developer relations engineer on the GitHub Copilot team who experiments with AI-assisted workflows, shares fast, hands-on stories about using Opus 4.5 and GPT-5.3 Codex. He describes one-shot, well-structured code wins, building real apps quickly, automating small business tasks, agent orchestration strategies, and how tooling and roles are shifting with cheap personal software creation.
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Holiday Model Gains Plus Opus 4.5 Sparked A Surge Of Experimentation
- Adam and Burke recount how Opus 4.5 made them suddenly able to finish projects that earlier models left half-baked.
- The podcast notes a holiday surge in usage (Claude credits) and a model step-change that motivated widespread experimentation.
Agents Accelerate Learning Of Systems Concepts
- Using AI accelerates conceptual learning: developers learn protocols and patterns (ETL, Unix sockets, gRPC) by iterating with agents instead of manual research.
- This expands people's capability quickly, flattening barriers across languages and stacks.
Classify Task Difficulty To Choose The Right Agent Workflow
- When designing agent workflows, decide task difficulty up front (easy, medium, hard) to pick appropriate agent behaviors and checks.
- Hard tasks should trigger planning, sub-agents, model selection, and stronger verification steps.
