Claude Fable costs $9 for one coding test. GPT-5.5 costs $1.50. Model triage is the new AI skill.
Anthropic shipped Claude Fable 5 on Tuesday, and the most useful reactions I’ve seen are routing diagrams, not benchmarks.
Fable’s capability and its price, taken together, just made model selection the skill that separates effective AI users from expensive ones. The people getting the most out of the best model available are the ones disciplined enough not to run it by default. They use Fable to plan, orchestrate, and review, then hand the actual work to models that cost a tenth as much.
And with Fable coming off subscription plans on June 23 and a price war forming underneath it, that skill is about to matter for everyone, not just developers.
7 days from deployment to production-ready performance.
Traversal won on accuracy, speed, and BYOC compatibility: 75% RCA accuracy and a projected 40%+ MTTR reduction within 7 days, all deployed inside their VPC.
Loop engineering — the practice of designing automated agent workflows instead of prompting manually — is reshaping how developers use Claude Code and OpenAI Codex in 2026.
Block open-sourced Goose, its internal coding agent, then handed it to the new Agentic AI Foundation under the Linux Foundation to fix governance gaps. The New Stack spoke with Manik Surtani, the newly appointed CTO and co-founder of the Agentic AI Foundation, and former head of open-source at Block, at an MCP developer event to learn more.
From Silos to Governance: Securing IT/OT Data Movement
Find out how organizations managing critical infrastructure are replacing one-off file transfers with governed, resilient data movement at scale. Join us live on June 23 to see where IT/OT integration security actually breaks down in practice — and what a modern architecture does differently.
The Kubernetes rightsizing trust gap: Why the stakes just got higher
AI workloads have made the Kubernetes rightsizing trust gap expensive. Join us on June 24 to see how teams move from human-approved every change to continuous closed-loop optimization — in practice.
Operationalizing AI in Observability: From Debugging to Automated Remediation
Engineering teams have more data than ever, but humans are still the bottleneck, manually stitching together logs and traces to find answers. Join us live on June 30 for a practical look at how Datadog’s Bits AI moves teams from manual investigation to autonomous remediation.
WeAreDevelopers World Congress 2026: North America
WeAreDevelopers brings the world’s largest developer event to North America, fostering global growth and connection in the tech sector. Join The New Stack onsite for all the action as we host a special welcome reception, cover the biggest show moments, and film interviews on the show floor at our booth. Use this exclusive code to save 10% on your registration: thenewstack_community.
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"The panic is aimed at the wrong target. Entry-level roles aren’t vanishing, but the work that used to define them is. AI now handles many of the tasks junior developers learned on, so the old definition of a junior role is becoming obsolete. The new one looks completely different and demands a different skill set from day one."
— Sead Ahmetovic, CEO and co-founder of WeAreDevelopers, the global developer hiring and events platform. Read more →
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