☕️ OpenAI cuts GPT-6 token prices in half

Hi there, this is your daily ☕️ DevShot.

In today's DevShot:

💰 OpenAI cuts GPT-6 token prices in half

🤖 Anthropic launches Claude Opus 5.5

📌 Google open-sources AI agent orchestrator

🧩 JetBrains bets big on agentic coding

🔀 Cloudflare adds Git branch previews

Plus: 🎁 7 other news you might like, 🛠️ 5 tutorials, 🧰 7 tools, and 📚 5 papers.

• OpenAI released GPT-6 Sol and Luna on Tuesday, cutting API token prices 50% versus their GPT-5.6 counterparts, landing at $2 and $0.10 per million input tokens and $10 and $0.50 per million output tokens.
• The new models raise default prompt cache-hit rates and let developers change reasoning effort and tool availability without breaking the cache, so agents reuse earlier context, cutting latency and keeping the 90% cached-input read discount.
• A new Prompt Caching Dashboard exposes how much input is cached over time and flags missed caching opportunities; OpenAI says GitHub cut prompt tokens needing fresh processing by over 50% across billions of requests.

• Anthropic released Claude Opus 5.5 today, claiming Fable 5.1-level performance on most work while running about 40% cheaper than Opus 5, generating output over 30% faster and using far fewer tokens per task.
• Token prices dropped 20% versus Opus 5, and subscription users get 20% larger five-hour limits that, combined with slower token burn, add up to roughly 50% more effective usage capacity on both five-hour and weekly caps.
• Anthropic routes risky requests down to Opus 4.8 for most cybersecurity work and Opus 5 for biology and LLM development when safeguards fire, while approved teams can apply to its Cyber and Life Sciences Verification Programs for fuller access.

• Google has released AX, an Apache 2.0-licensed orchestrator and declarative runtime for running autonomous AI agent workloads, hosted at agentexecutor.io and on GitHub as google/ax and built on its Agent Substrate execution layer.
• AX treats each agent session as a stateful, isolated actor sandbox with strict CPU and memory limits, checkpointing and suspending idle agents awaiting model or tool responses, then resuming them in sub-second intervals with no cold-start delay.
• Its control plane exposes four Kubernetes-style primitives, Task, Workspace, Gateway, and Model, managed through the Go-based ax CLI, with commands like ax apply, ax watch, ax ssh, and ax suspend or resume to control execution state.

• JetBrains has launched Air, an open system of products for agentic software development that operates both inside and beyond its IDEs, consolidating several of the company's recent AI efforts under a single banner.
• Air spans three layers: Air in JetBrains IDEs for directing and reviewing agents like Claude Code, Codex, and Junie; Air Teams for shared cloud environments and automations; and Air Governance for model access, permissions, and spending limits.
• Developers reach Air through IDEs, the browser, or the command line via Air Gateway, supervising multiple agent sessions at once and inspecting changes as native IDE diffs, with Teams and Governance still in early access.

• Cloudflare launched Worker Previews, giving every Git branch a production-like environment with its own code, configuration, URL, observability, and state, so changes can be tested before merging to production.
• Running `npx wrangler preview` deploys an isolated Preview with dedicated variables, secrets, and bindings, and automatically creates a new Durable Object namespace and Container per branch to keep state changes contained.
• Each branch gets a stable Preview URL, servable on a custom domain and protectable with Cloudflare Access, plus full Workers Observability traces so agents and humans can catch failures, patch, and verify iterations autonomously.