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AI & Automation

'Approve for me' in Kiro vs Claude Code: Who Should Use It

Nov 10, 2026

Kiro launched "Approve for me" on November 10, 2026, as an opt-in setting in Kiro IDE, Kiro CLI and Kiro Web, and it changes one thing: for any action that no permission rule already covers, an LLM review decides whether Kiro runs it, blocks it or asks you first. For a small team, that means fewer approval prompts during long coding tasks, but only on paid plans, only after someone switches it on, and only in the two regions the vendor lists.

Compared with Claude Code's auto mode, which also puts a classifier between the agent and each action, Kiro's version publishes less detail on blocking thresholds and admin controls, and it is off by default where Claude Code's auto mode is the starting mode for recent versions.

TL;DR: Approve for me is a permission preset that adds a fourth outcome, "evaluate," beside allow, ask and deny. Turn it on this month for paid seats working in non-production repos if your team currently approves every step or has been running trust-all-tools. Leave it off on Free accounts and on production systems until workspace rules are set.

Key Takeaways

  • Approve for me is off by default. It needs a paid Kiro plan, Kiro IDE 1.4.154 or later, or Kiro CLI 2.36 or later. Kiro Web needs no update.

  • Explicit allow, ask and deny rules run first. The LLM review only sees actions that no rule settles.

  • After three blocked steps in a row, Kiro goes back to asking you and shows the reason in the prompt.

  • Claude Code's auto mode is available on all plans according to its docs, and it pauses after three blocks in a row or 20 in total.

  • The one hands-on report we found, dated October 30, 2026, says force pushes and writes to /tmp ran without a prompt in a test folder. That is one author's test, not an audit.

  • Our recommendation: pilot on one non-production repo with the local sandbox on and deny rules set first. Do not treat the feature as a reason to enable trust-all-tools.

What Kiro changed and what it replaced

Before this launch, Kiro paused for approval before many actions unless you had pre-approved tools in a custom agent or turned on trust-all-tools. The vendor's launch post gives a failing-test example: the agent paused before running the test suite, again before editing the source file, and again before rerunning the tests. Its account is that the friction pushed many users to trust-all-tools, which removed the prompts but also let unsafe actions run. Kiro's launch post makes the same case in its own words.

The only usage figure the vendor publishes for how often prompts fired is this one: Kiro asked before 15.8% of CLI tool calls according to Kiro (2026). That sample covers Kiro CLI interactive sessions over one week and comes from Kiro's internal data, so it shows the scale of the problem for Kiro's own users rather than for your team.

Timing matters for rollout. Kiro's CLI 2.36 changelog is dated October 29, 2026, so the CLI shipped before the November 10 launch post, which is the only place the IDE and Web rollout is described. The CLI 2.36 changelog covers the enablement steps and the per-workspace setting. For other recent Kiro launches, see Kiro Crew explained and Kiro for iOS explained. For another vendor comparison, see GPT-5.6 Sol alternatives.

The feature does not change what a running shell command can reach. The launch post says Approve for me "doesn't limit what a shell command can access once it runs." That job belongs to Kiro's local sandbox, which puts an operating-system boundary around shell commands with outbound network access blocked unless you allow it.

How the review decides

Kiro applies the three layers in a fixed order:

  1. Explicit allow, ask and deny rules apply first, including "always ask." Actions these rules cover never reach the review.

  2. For anything left over, the review judges the action. If it judges the action safe, Kiro runs it. If it judges the action unsafe, Kiro blocks it. If it cannot decide, Kiro asks you.

  3. After three blocked steps in a row, Kiro asks you and includes the reason in the prompt.

The Kiro permissions docs describe the same mechanism under different names. They list four effects (deny, ask, allow and evaluate), call evaluate "the weakest effect," and say it is "added by the approve-for-me preset and active only when the trust classifier is available." If the feature is unavailable in your session, Kiro keeps asking for every action. The same docs say user rules live in ~/.kiro/settings/permissions.yaml, workspace rules live outside the repository, and "A cloned repo cannot inject permission rules." A hardcoded Kiro scope always denies writes to Kiro's own settings and always asks before writing to .git/**.

Headless runs behave differently. The docs state that "every ask is treated as a deny," so a scheduled job that depends on a human answering a prompt will stop that step rather than wait.

Claude Code publishes a more specific threshold. 3 blocks in a row or 20 total pause auto mode according to Anthropic (undated docs page). The docs say those thresholds are not configurable, and that in -p runs "the action doesn't run and Claude keeps working."

What the vendor pages we read do not publish: Kiro's review criteria, the model version behind "an Anthropic model," any total-block threshold, and what data the review sends or retains. Kiro's docs call the component a "trust classifier" and the launch post calls it "LLM review," so ask for the exact term when you talk to the vendor.

How we evaluated these tools

We weighted six criteria for a small team that has to decide this month. The weights are our judgment, not vendor data. They favor safety and governance over raw prompt reduction, because a wrong auto-approval usually costs more than an extra prompt.

CriterionWeightWhy it matters for this decision
Handling of blocked and unclear actions25%One auto-approved destructive command costs more than an extra prompt
Admin control and per-workspace governance20%Small teams often rely on one person to set rules for everyone
Published decision detail15%Thresholds and criteria you can cite in an internal policy
Reduction in interruptions15%The reason to switch at all
Price per seat and billing clarity15%Sets the monthly cost floor and shows what extra usage costs
Plan, region and version eligibility10%Decides whether you can turn it on this month

The matrix below scores each feature from the pages we read. It is a reading of documentation, not a test.

Head-to-head: the feature matrix

FeatureKiro Approve for meClaude Code auto modeKiro before the feature
Default stateOffStarting mode for interactive terminal and VS Code sessions in v2.1.283 or laterAsks before many actions
Who can use itPaid usersAll plansEveryone, with pre-approved tools or trust-all-tools as workarounds
Admin off-switchNot described on the pages we readTeam and Enterprise: managed setting permissions.disableAutoModeNot applicable
Explicit rules firstYes: allow, ask and deny apply before the reviewYes: explicit ask rules still force a prompt, and deny rules block in every modePre-approved tools in custom agents
Block triggerThree in a row, then asksThree in a row or 20 total, then promptsNot applicable
Non-interactive runsEvery ask becomes a denyThe blocked action does not run and the run continuesNot covered on the pages we read
Regions listedus-east-1 and eu-central-1Not listed on the pages we readNot applicable
Model disclosure"An Anthropic model," version not publishedModel requirements listed by provider, such as Opus 4.6 or later on the Anthropic APINot applicable
SandboxLocal OS sandbox in IDE and CLI; Web runs in a managed cloud sandboxNot covered on the pages we readNot applicable

The biggest practical gap is the admin layer. Claude's docs describe a managed setting that removes auto from the mode cycle. Kiro's pages describe per-workspace permission files but do not describe an organization-wide switch. For a team where one person sets policy, that difference can matter more than the review itself. Claude Code's cloud sessions also do not offer an Ask mode, so the two products differ in what a developer can choose at runtime as well.

Pricing and total cost

Pricing checked November 10, 2026. Kiro's Pro plan costs $20 per user per month, according to Kiro. On Claude, the Pro plan costs $20 per month if billed monthly, according to Anthropic.

Every figure below is taken from those two pricing pages as read on the date above. Where a vendor's page does not state a figure, the table says so.

VendorPlanPrice as publishedWhat is included
KiroFree$0 per month50 credits; no Approve for me, since it is paid users only
KiroPro$20 per user per month1,000 credits per user; add-on credits at $0.04 each
KiroPro+$40 per user per month2,000 credits per user
KiroPro Max$100 per user per month5,000 credits per user
KiroPower$200 per user per month10,000 credits per user
KiroTeams$20 per seat per month500 credits per seat in a shared pool; a pool needs 2 or more seats
ClaudeFree$0Claude Code not included
ClaudePro$20 per month if billed monthly; $17 per month billed annuallyClaude Code included; $200 billed up front on annual terms
ClaudeMax$100 per monthClaude Code included
ClaudeUltra$200 per monthClaude Code included
ClaudeTeam standard seat$25 per seat if billed monthly; $20 per seat if billed annuallyTeams of 2 to 150; pooled API credits up to $500 per month
ClaudeTeam premium seat$125 per seat if billed monthly; $100 per seat if billed annuallyMore usage than standard seats
ClaudeEnterpriseUS$20 per seat per month, billed annually, 20-seat minimumUsage billed separately at API rates

Kiro says it "charges your plan for actions it sends to the LLM review." It does not publish how many credits one review uses, so the credit line is the number to check in your first billing cycle. Kiro's Teams plan lets admins buy add-on credits for a pool at $0.04 each, and the page says "Credit pooling doesn't use overages."

On the Claude side, the auto mode docs do not describe a separate charge for auto mode itself. The Enterprise row is the one place the pricing page says usage is billed separately, at API rates. For a small team, the bigger cost question is which seat type you need, not the review line.

Worked example: four seats and the prompt count

Take a hypothetical four-person team that puts every developer on Kiro's Pro plan, which is $20 per user per month and 1,000 credits per user, per Kiro's pricing page. Four seats cost $80 a month, or $960 a year (4 × $20 × 12), and they carry 4,000 credits a month between them (4 × 1,000), with unused monthly credits not rolling over. Assume each developer runs 3 long tasks a week and that each task used to produce 15 approval prompts, which is 180 prompts a week (4 × 3 × 15). Those are our assumed numbers, not Kiro's, and the review will not reduce the count to zero, because the team's own rules and the review outcome both change it. The count is the ceiling a pilot should measure against. Before rollout, an admin should read the workspace file permissions.yaml and confirm which allow, ask and deny rules already cover the common actions. If the team also runs Claude Code, check whether the managed setting permissions.disableAutoMode is in place, because it removes auto from the Shift+Tab cycle.

Vendor profiles: where each one fits

Kiro: Approve for me

Best fit: a team that already pays for Kiro seats, runs long agentic tasks across several repositories, and has one person who can write the workspace rules before anyone enables the feature.

Limitations: It is limited to paid users in the listed regions. It does not remove every prompt, and the launch post says that when an action is unclear, Kiro asks you before proceeding. The vendor says the median review took under a second in its internal use, and its usage figures come from its own internal sample, not from an outside audit. The vendor has not published the review criteria or the model version.

Implementation: Update to Kiro IDE 1.4.154 or later, or Kiro CLI 2.36 or later. In the IDE, turn on the switch in What's new or choose the feature from the chat menu for the current chat. In the CLI, run /permissions, choose Policies, and select approve for me. The CLI stores that choice in the workspace's permissions file, and it "does not follow you to others."

Evidence: the launch post, the permissions docs, the CLI 2.36 changelog, and one third-party test covered below.

Claude Code: auto mode

Best fit: a team already on Claude Pro, Max, Ultra or a Team seat that wants a documented block threshold and an admin switch.

Limitations: Claude Code is not included on the Free plan. The docs say plainly that "Auto mode reduces permission prompts but does not guarantee safety." The block thresholds are not configurable. On the Anthropic API, auto mode requires specific current models. Cloud sessions offer Accept edits, Plan and Auto, not Ask, and bypassPermissions "offers no protection against prompt injection or unintended actions."

Implementation: With Claude Code v2.1.283 or later, auto mode is the built-in starting permission mode for interactive terminal and VS Code sessions on every plan. On Team and Enterprise, auto mode is available by default, and an administrator can turn it off through managed settings.

Evidence: the permission modes docs and the Claude pricing page.

Signal vs speculation: what is published and what is our read

The table separates what the sources state from what we infer. We have not run either product for this article.

ClaimStatusSource
Approve for me is off by default and limited to paid usersPublished by KiroKiro launch post
The review uses "an Anthropic model"; version not namedPartly publishedKiro launch post
The median review took under a secondVendor's internal reportKiro launch post
Explicit rules run before the reviewPublished in docsKiro permissions docs
Force pushes and /tmp writes ran without a promptOne author's test, dated October 30, 2026Classmethod write-up
Claude Code auto mode blocks force push by defaultPublished as a default exampleClaude permission modes
Approve for me will cut prompts for your teamOur expectation, not measuredThis article

The one hands-on report we found is a Japanese developer blog post. It reports that rm -rf inside the test directory, a force push to a local bare repository, and writes outside the test directory ran without a prompt, while piping a script into sh and writes to .git and .kiro/hooks still prompted. Writes to .kiro/settings were denied by a fixed rule. The author attributes the prompts and the denial to fixed rules rather than to the review. That one environment does not establish how the review behaves on your repositories.

Our read is that the three-in-a-row fallback matters most for unattended runs, where a stuck prompt has no one to answer it. That is an inference from the headless rule, not a measured result. We also expect the gap between Claude's documented default blocks, such as force push, and the Kiro test to be the first thing a security reviewer asks about. Ask the vendor for its current rule set in writing before you rely on either default.

Who this is for

This comparison fits a small B2B software team that already uses an AI coding agent and is weighing whether to keep approving every step. Stack Overflow's 2025 developer survey found that 14.1% of developers use AI agents daily at work according to Stack Overflow (2025), so agent use is common but not yet universal. The same survey's press release reports that 46% of developers do not trust the accuracy of AI tool output, which is a reason to keep a human checkpoint in place for production work, according to Stack Overflow (2025).

Red flags: you are on a Free plan or have no paid seats to assign; your repositories include production deploy scripts or migrations that no rule covers; you expect the feature to remove every approval prompt, which the vendor says it does not.

Build it yourself or stitch it together

Many teams would otherwise build this with Zapier, Make, n8n or a script of their own. Those routes can keep run histories, retries, error branches and audit evidence once they are configured. The buyer still designs and owns observability, idempotency (so a retried step does not run twice), escalation paths, access controls and ongoing maintenance. A proposed US Tech Automations design would differ mainly by packaging those pieces into one configured review queue, with a named reviewer and a logged decision for each item. It still depends on an export path, and neither vendor's pages we read describe one for approval decisions.

Where a review queue fits around approve-for-me

US Tech Automations can configure a proposed review queue for teams that want a record of what the review blocked or asked about. The workflows below are proposals, not deployed systems, and no customer is running them.

The first proposed workflow starts with a trigger: a Kiro CLI session writes an export that includes blocked or asked-about actions. Kiro's pages do not describe an approval-decision API, so the prerequisite is either a manual export or a log file that the team already collects. The action is a configured parser that flags each blocked or asked item and opens a review task with the session identifier, the action text and the reason Kiro showed. The output is that task in the team's queue. The human review point is a named reviewer who marks each item approved or rejected, and any production deploy or migration stays on a separate human checklist regardless of what the queue shows.

The second proposed workflow handles onboarding. The trigger is a new developer added to the team roster. The action copies a reviewed permissions.yaml template into that developer's workspace permissions location, as Kiro's docs describe, and records the change. The output is a change record. The human review point is an admin who signs off before the developer can enable Approve for me, because Kiro's own docs say a cloned repo cannot inject rules, so policy has to be set on the machine.

When a simpler setup wins

When NOT to use US Tech Automations: if you are one developer working in one repository, Kiro's own toggle and a short set of allow, ask and deny rules are enough, and a workflow adds a moving part you do not need. If you already run only Claude Code and your admin has set the managed settings you need, the Claude-side controls may cover your case without a separate queue. If you have no log export and no reviewer to assign, a workflow has nothing to act on, so start with the setting and the rules.

Glossary

  • Approve for me: A Kiro setting that lets an LLM review actions no permission rule covers, then allows, blocks or asks.

  • Evaluate: The permission effect Kiro's docs describe as the weakest of the four, used by Approve for me.

  • Allow, ask and deny rules: Explicit permission rules that Kiro and Claude Code apply before any review.

  • Trust-all-tools: A Kiro mode that runs tools without asking for approval, which Approve for me is meant to replace in most cases.

  • Headless mode: A run with no human present, where Kiro treats every ask as a deny.

  • Workspace permissions file: The per-workspace rules file that Kiro stores outside the repository.

  • Local sandbox: An operating-system boundary around shell commands that blocks outbound network access unless you allow it.

  • Managed settings: Claude Code configuration an administrator sets for an organization, such as permissions.disableAutoMode.

Decision checklist for this month

  • Confirm your plan is paid and your IDE or CLI version meets the minimum.
  • Choose one non-production repository for the pilot.
  • Turn on the local sandbox before enabling the feature.
  • Write deny rules for production paths, deploy scripts and migrations first.
  • Leave trust-all-tools off for the pilot.
  • Log every blocked or asked-about action for one review cycle.
  • Ask the vendor for the review criteria, model version and data handling in writing.

Frequently asked questions

Is Approve for me on by default in Kiro?

No. The launch post says "The feature is off by default," and you switch it on per chat in the IDE or through the CLI's permissions menu.

Which Kiro plans can use it?

Only paid users can use it, according to the launch post, which excludes the Free plan. It is available in Kiro IDE, Kiro CLI and Kiro Web in us-east-1 and eu-central-1.

Does it remove every approval prompt?

No. The launch post says the feature "doesn't remove every single approval prompt," and unclear actions still get a question. Trust-all-tools remains available if you want zero prompts, but that brings back the risk the feature is meant to reduce.

Does it cost extra?

Kiro says it "charges your plan for actions it sends to the LLM review," and it has not published how many credits one review uses. Check the credit balance during your first billing cycle to measure the real draw.

Is Claude Code's auto mode the same thing?

The idea is similar, with different controls. Both apply explicit rules first and then use a classifier for the remaining actions. Claude's docs publish a block threshold, a managed-settings off switch and a default starting mode in recent versions. Kiro's pages describe a per-workspace rules file and an opt-in toggle, and they do not describe an organization-wide off switch.

Does the review send my code to an outside model?

The launch post says the review "currently uses an Anthropic model," but the pages we read do not describe what data the review sends or retains. Ask Kiro for that statement in writing before you approve the feature for client code.

Should a small team switch it on this month?

If you already pay for Kiro seats, we recommend a pilot on one non-production repository with the sandbox on and deny rules set first. If you do not already pay for Kiro seats, the feature alone is not a reason to buy them.

Bottom line

Approve for me is a real change for Kiro users who are tired of approving every step, and it is narrower than it sounds: it is paid-only, off by default, limited to the rules that no explicit rule covers, and it still asks when unsure. Claude Code's auto mode covers more plans and publishes a clearer threshold, while Kiro's version fits teams already paying for Kiro seats. Pilot on a non-production repository this month, set the rules first, and keep trust-all-tools off. If you want a review queue around the decisions, see how US Tech Automations configures this review queue as a proposal for your own stack.

About the Author

Garrett Mullins
Garrett Mullins
Workflow Specialist

Helping businesses leverage automation for operational efficiency.