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Until now, there was no way to control how enterprise users sign in to Kiro on managed devices. Even if your organization requires IAM Identity Center, users can still sign in to Kiro with a personal account (Google, GitHub, or Builder ID).
Kiro CLI V3 brings the same agent harness that powers Kiro IDE and Kiro Web to your terminal. With V3, you can give Kiro a task that needs planning, implementation, and review, and keep working while workflow agents handle the steps in the background.
Claude Sonnet 5.5 is available today across Kiro IDE, CLI, Crew, and Web. It is Anthropic’s fastest Sonnet model to date and a clear upgrade over Claude Sonnet 5. In our internal benchmarking, Sonnet 5.5 performed better than Sonnet 5, while being more efficient in both token usage and speed.
Choose how V3 delegates with Workflows, include live file and folder context in Steering, and invoke saved prompts as slash commands.
Today, we’re introducing Kiro workflows, allowing you to carry out complex tasks from start to finish with multiple agents and less supervision. We’ve been building Kiro itself with workflows, including the new cloud configuration, cloud sessions, and most of the workflow experience.
Kiro CLI 2.26.0 lets you build reusable task workflows and gives Classic users a clear upgrade path to the new terminal interface. We've also strengthened security by requiring explicit approval for file writes in untrusted workspaces. Check the release notes to see what else ...
Claude Opus 5.5 is available today across Kiro IDE, CLI, Crew, and Web. It is Anthropic’s most capable Opus model yet, delivering Fable 5.1-level performance on most work at 40% lower cost than Opus 5.
Kiro CLI 2.25.0 now lets you manage Powers directly from local sessions and customize V3's responses to fit your workflow. Plus, improved reliability across authentication, security, and terminal rendering, with a new SessionEnd Hook for advanced automation.
Last week, the three of us building Kiro Crew full time merged 1,000 pull requests in seven days. Over 120 a day, every one went through CI and review. Kiro Crew is mainly built by those three full-time engineers, with nearly 500 enthusiastic community contributors.
Claude Fable 5.1 is available today to Kiro enterprise customers. For long-running, context-heavy agentic sessions, Fable 5.1 sets a new bar. It traces problems to their root causes in the code rather than surfacing symptoms, and it holds context and intent across the full arc of complex tasks.
Every software development team has experienced the tension between maintenance and building new features: time spent on one is time not spent on the other. For open-source maintainers, this challenge is even more acute with smaller teams, larger user bases, and a backlog that never stops growing.
Starting today, GPT‑5.6 Sol, Terra, and Luna support 1 million token context windows in Kiro, across the IDE, CLI, and Web. You can now use GPT‑5.6 models to process entire codebases, long-form documents, and extended multi-turn agent histories in a single request, without chunking, summarization,…
We’re happy to share that procurement, security, and vendor-risk teams now have independently verified evidence to support decisions about adopting Kiro. Kiro is included in the defined scope of AWS’s ISO/IEC 27001:2022 certification.
When we launched the Kiro Students tier in March, we started with 11 universities. Demand outran that list almost immediately. Students at schools we had not reached yet kept asking us the same thing: when is my school next?
Kiro Web and cloud sessions are generally available with cloud configuration
When Kiro IDE's coding agents write or modify code, the diagnostics tool runs static analyzers to check the output. These are the same checks a developer sees underlined in their editor.
Prompt behavior is difficult to validate exhaustively. A system prompt operates across combinations of models, tools, codebases, tasks, and users that no test suite can fully cover.
Kiro just shipped cloud sessions (preview), and it fixes the one thing that always bugged me about running an AI agent on my own machine: the machine. With cloud sessions, your agent runs in a cloud sandbox instead of on your laptop.
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