Kiro Release Notes
Last updated: Apr 3, 2026
- Apr 2, 2026
- Date parsed from source:Apr 2, 2026
- First seen by Releasebot:Apr 3, 2026
GLM-5 Now Available in Kiro
Kiro adds experimental support for GLM-5, bringing a 200K context model for complex systems engineering, long-horizon agentic tasks, and repository-scale code understanding in Kiro IDE and CLI.
Added support for GLM-5, a sparse mixture-of-experts model with a 200K context window designed for complex systems engineering and long-horizon agentic tasks. GLM-5 excels at processing repository-scale context and maintaining coherence during multi-step tool use across large codebases, making it a strong choice for cross-file migrations, full-stack feature development, and legacy refactoring where the model needs to hold the full picture. Available with experimental support in both the Kiro IDE and Kiro CLI. Inference runs in us-east-1 (N. Virginia) with a 0.5x credit multiplier. Restart your IDE or CLI to access it from the model selector.
Original source Report a problem - Mar 26, 2026
- Date parsed from source:Mar 26, 2026
- First seen by Releasebot:Mar 27, 2026
Download subscription data as CSV from the Kiro Console
Kiro adds CSV export for subscription data in the Kiro Console Users & Groups page.
Administrators can now export Kiro subscription data as a CSV file directly from the Kiro Console. The new "Download CSV" button on the Users & Groups page's Subscriptions table exports user name, subscription plan, status, type, and activation date.
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- Mar 23, 2026
- Date parsed from source:Mar 23, 2026
- First seen by Releasebot:Mar 25, 2026
Claude Opus 4.6 and Sonnet 4.6 upgraded to 1M context window
Kiro now supports Claude Opus 4.6 and Sonnet 4.6 with 1M context and general availability in Kiro IDE and CLI.
Claude Opus 4.6 and Claude Sonnet 4.6 now support a 1M context window, up from 200K, and are no longer marked as experimental. Both models are now generally available in the Kiro IDE and Kiro CLI for Pro, Pro+, and Power tier subscribers. Restart your IDE or CLI to see the updated models.
Original source Report a problem - Mar 23, 2026
- Date parsed from source:Mar 23, 2026
- First seen by Releasebot:Mar 25, 2026
MiniMax 2.5 now available in eu-central-1
Kiro adds MiniMax 2.5 in eu-central-1 for AWS IAM Identity Center users with broader availability and a 200K context window.
MiniMax 2.5 is now available in eu-central-1 (Frankfurt) for users authenticating with AWS IAM Identity Center, extending support beyond us-east-1 (N. Virginia). Available on all subscription tiers with a 0.25x credit multiplier and 200K context window. Restart your IDE or CLI to access it from the model selector.
Original source Report a problem - Mar 20, 2026
- Date parsed from source:Mar 20, 2026
- First seen by Releasebot:Mar 21, 2026
Refreshed Terminal UI for Kiro CLI
Kiro introduces an experimental refreshed terminal UI behind the --tui flag, bringing richer markdown rendering, live status updates, interactive context and session panels, and contextual tool help. It also adds /chat new and --list-models for a smoother CLI workflow.
This release brings an experimental refreshed terminal UI behind the
--tuiflag. The new experience features a live status bar, rich markdown rendering with syntax-highlighted code blocks, interactive panels for managing context and sessions, and contextual overlays for tools and help. You also get/chat newfor starting fresh conversations without restarting the CLI, and--list-modelsfor quickly checking which models are available.New Terminal Experience
Get a richer chat experience with the new TUI. Agent responses render with full markdown, syntax-highlighted code blocks, tables, and nested formatting. Tool calls show descriptive titles and progress indicators as they run. Interactive panels let you browse context, switch sessions, and manage tools without leaving the terminal. The classic interface remains the default, so you can switch back at any time. Try it with
kiro-cli --tuior set it permanently withkiro-cli settings chat.ui "tui".Learn more ->
Original source Report a problem - Mar 17, 2026
- Date parsed from source:Mar 17, 2026
- First seen by Releasebot:Mar 18, 2026
Open weight models now available for IAM Identity Center users
Kiro releases MiniMax 2.1, DeepSeek 3.2, and Qwen3 Coder Next for AWS IAM Identity Center with open weights on all plans.
MiniMax 2.1, DeepSeek 3.2, and Qwen3 Coder Next are now available for AWS IAM Identity Center users. All three open weight models are available on all plans in both the Kiro IDE and CLI.
MiniMax 2.1 and Qwen3 Coder Next are available in both us-east-1 (N. Virginia) and eu-central-1 (Frankfurt). DeepSeek 3.2 is available in us-east-1 only.
Credit multipliers are unchanged: DeepSeek 3.2 at 0.25x, MiniMax 2.1 at 0.15x, and Qwen3 Coder Next at 0.05x.
Learn more ->
Original source Report a problem - Mar 11, 2026
- Date parsed from source:Mar 11, 2026
- First seen by Releasebot:Mar 12, 2026
MCP Registry Governance, Model Governance, and Document Attachments
Kiro unveils enterprise governance enhancements with centralized MCP server access and model availability, plus new document attachments in chat. Administrators can lock approved servers and models, sync with a registry, and set default models. Users can attach multiple documents for in-chat reasoning.
This release gives enterprise teams centralized control over MCP server access and model availability, and adds document attachment support to chat.
MCP Registry Governance
Enterprise administrators using IAM Identity Center can now control which MCP servers their organization is allowed to use. Create a JSON registry file listing approved servers, host it over HTTPS, and configure the URL in the Kiro console. The registry supports remote (HTTP) and local (stdio) servers across npm, PyPI, and OCI package types, with ${VAR} placeholders for user-specific values like auth tokens. Kiro syncs with the registry every 24 hours, enforces version-pinned access, and works alongside the existing MCP on/off toggle to give you full control at the org or account level.
Model Governance
Enterprise administrators can now control which AI models are available to users in their organization. Toggle on model access management in the Kiro console under Settings > Shared settings > Model availability, then curate an approved list of models. You can also set a default model that auto-applies across all clients. This is especially relevant for data residency requirements — experimental models using global cross-region inference can be removed from the approved list until they move to GA with regional inference. Once enabled, only approved models appear in the model selector across both the IDE and CLI.
Document Attachments
You can now attach documents directly to chat messages by pasting or dragging files into the input. Supported formats include PDF, CSV, DOC, DOCX, XLS, XLSX, HTML, TXT, and Markdown. Documents are sent to the model as native document blocks, so the agent can read and reason over their contents. You can attach up to 5 documents per message and mix them with text and images in the same prompt.
Original source Report a problem - Mar 2, 2026
- Date parsed from source:Mar 2, 2026
- First seen by Releasebot:Mar 3, 2026
Simplified Agent Creation, Granular Tool Trust and Session Settings
Kiro unveils AI-assisted agent creation, in-session settings tweaks, and granular tool trust with interactive permission scopes. The CLI now auto-generates configs, lets you adjust preferences mid‑conversation, and fine‑grains shell/tool access controls for safer automation.
This release streamlines how you create and manage agents. Describe what you need and Kiro CLI generates your agent config, use the new session settings tool to tweak preferences mid-conversation without editing config files, and control exactly which shell commands you trust with granular scoped permissions.
Simplified Agent Creation
The /agent create command now defaults to AI-assisted mode, merging the previous /agent generate workflow into a single command. Describe what you want your agent to do and Kiro generates the agent configuration for you. Pass --manual to use the previous editor-based creation flow. You can also specify creation arguments directly at invocation time to bypass the interactive menu entirely.
Learn more ->Granular Tool Trust
When Kiro asks to use a tool, you now get an interactive picker to choose how broadly to trust it. For shell commands, select from tiered scopes -1 trust the exact command, the command with any arguments, or the base command with wildcards. For read and write tools, scope trust to specific file paths, the containing directory, or the entire tool. The picker adapts to each action, skipping tiers that aren't meaningful, and handles chained shell commands automatically.
Learn more ->Session Settings Tool
You can now ask the agent to adjust settings temporarily within your current session -1 change model preferences, toggle features, or tweak behavior without modifying your config files. All session overrides apply in-memory and reset automatically when the session ends.
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Learn more -> - Feb 18, 2026
- Date parsed from source:Feb 18, 2026
- First seen by Releasebot:Feb 19, 2026
New Spec Workflows, Hunk-Based Edits, Task Hooks, and MCP Prompts
Kiro unveils Design-First Feature Specs and Bugfix workflows for architecture-driven planning and structured root-cause analysis. Hunk-based review in supervised mode plus Pre/Post Task Execution hooks boost precision and automation. MCP prompts and templates surface in chat for easier elicitation.
This release introduces new spec workflows that let you design features architecture-first and fix bugs with structured root cause analysis. Supervised mode now lets you review changes at the hunk level for precise control. New hook triggers automate work around spec tasks, and MCP servers can now surface prompts, templates, and elicitation support directly in chat.
Design-First Feature Specs
A new Design-First workflow lets you start a feature spec from technical architecture instead of requirements. Provide a high-level or low-level design, pseudocode, or system diagram and Kiro derives feasible requirements from it. This is ideal when you have strict non-functional constraints, an existing design to port, or want to think through the architecture before defining user-facing behavior.
Learn more ->Bugfix Specs
Specs now include a dedicated Bugfix workflow. Describe the issue you're seeing and Kiro walks you through root cause analysis, fix design, and regression prevention. The result is a
bugfix.mdthat captures current behavior, expected behavior, and what must remain unchanged, giving the agent clear guardrails before it writes a single line of code.
Learn more ->Hunk-Based Review in Supervised Mode
Supervised mode now presents file changes as individual hunks instead of full-file diffs. Each hunk is a logical group of related lines that you can independently accept, reject, or discuss with inline chat. You can also accept changes at the file level or accept all changes at once. This gives you precise control over exactly which parts of a change to keep.
Learn more ->Pre and Post Task Execution Hooks
Two new hook triggers let you automate work around spec task execution.
Pre Task Execution fires before a task begins, so you can run setup scripts or validate prerequisites.
Post Task Execution fires after a task completes, letting you run tests, linting, or notify external systems automatically. Combine these with the existing hook actions to build end-to-end automation around your spec workflows.
Learn more ->MCP Prompts, Resource Templates, and Elicitation
MCP servers can now provide prompts and resource templates that appear in the context provider (#) menu in chat. Select a prompt to insert pre-built instructions, or fill in a resource template's parameters to pull in specific content as context. During tool execution, servers can also request additional input from you through elicitation. Kiro supports elicitation so servers can request the information they need without interrupting your workflow.
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Learn more -> - Feb 17, 2026
- Date parsed from source:Feb 17, 2026
- First seen by Releasebot:Feb 19, 2026
AWS GovCloud Support
Kiro is now available in AWS GovCloud US‑East and US‑West with GovCloud authentication and IAM Identity Center support. GovCloud routing uses Bedrock US‑West for inference, data stays in the original region, and traffic is TLS 1.2+ encrypted. This marks a regional product rollout for government workloads.
Kiro is now available in AWS GovCloud (US-East) and AWS GovCloud (US-West) regions, enabling government agencies and contractors to use Kiro within their compliance boundaries.
GovCloud Authentication
GovCloud Authentication
Authenticate using AWS IAM Identity Center with a GovCloud Start URL (containing us-gov-home). Kiro uses the same installer for both commercial and GovCloud regions—IAM Identity Center authentication automatically routes traffic to the appropriate region. Individual login methods like GitHub, Google, and AWS Builder ID are not available in GovCloud regions.
Learn more ->Inference Routing
Inference Routing
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For GovCloud customers, inference requests are processed using Amazon Bedrock in AWS GovCloud (US-West). Your content remains stored in the region where your Kiro profile was created, with all cross- region communication encrypted via TLS 1.2+.
Learn more ->