Claude Sonnet 4.5: How Does It Code Autonomously For 30+ Hours?

Artificial Intelligence (AI) is undergoing a fascinating evolution—from quick, reactive assistants to long-term, self-sustaining collaborators. Imagine comparing AI models to runners: some are sprinters, others are marathoners. Most models today, like ChatGPT or Gemini, shine brilliantly in short bursts—offering instant answers and swift code generation—but their brilliance often fades over time. Anthropic’s Claude Sonnet 4.5, however, represents a new kind of endurance in AI. It’s built not just for speed but for consistency—able to code, debug, and reason autonomously for more than 30 hours without losing context or coherence.

Claude Sonnet 4.5 achieves this through what Anthropic calls “long-horizon autonomy.” Instead of responding to prompts in isolation, it operates in iterative loops of planning, execution, and evaluation. Each cycle generates “artifacts,” or checkpoints, that preserve its progress and context. This approach enables the model to pick up right where it left off—even after hours of operation—making it resilient against context drift, a common limitation among most language models. The result is an AI that doesn’t just perform tasks but learns from its own processes, improving as it works. That’s the secret behind its 30-hour coding streak—stamina through structure and smart reasoning.

To learn more about how this model redefines endurance in AI-driven productivity, check out the full analysis on TechDogs: Claude Sonnet 4.5: How Does It Code Autonomously For 30+ Hours?. The article dives deeper into benchmarks and real-world applications showing how Claude Sonnet 4.5 outperforms its peers, maintaining performance over time rather than deteriorating with longer sessions. On tests like SWE-Bench Verified, it proved not just durable but remarkably consistent, refining its own outputs and improving upon earlier iterations—traits that mirror the habits of seasoned human developers.

In enterprise contexts, this long-haul reliability is where Claude Sonnet 4.5 truly shines. Whether it’s managing complex DevOps pipelines, debugging large codebases, refactoring legacy systems, or supporting global teams that work around the clock, its capacity to sustain performance without human oversight changes the productivity equation entirely. It acts as a digital collaborator that bridges time zones and keeps projects running seamlessly. More than a technical milestone, Claude Sonnet 4.5 marks a philosophical shift in AI development—reminding us that innovation isn’t only about speed or intelligence, but about persistence. As Anthropic’s creation proves, the future belongs not to the AI that sprints the fastest, but to the one that never stops running.