AWS Outages Traced to Kiro AI Coding Tool as Amazon Blames User Error Over AI Autonomy
17 Sources
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An AI coding bot took down Amazon Web Services
Amazon's cloud unit has suffered at least two outages due to errors involving its own AI tools, leading some employees to raise doubts about the US tech giant's push to roll out these coding assistants. Amazon Web Services experienced a 13-hour interruption to one system used by its customers in
[2]
Multiple AWS outages caused by AI coding bot blunder, report claims -- Amazon says both incidents were 'user error'
You really shouldn't give AI free rein to do anything it wants on your system. Amazon Web Services (AWS) has reportedly suffered from a couple of outages due to misbehaving AI agents. According to the Financial Times, the most recent interruption happened in December last year, when its Koiro AI
[3]
Who's to Blame? Amazon Links 2 AWS Outages to Autonomous AI Coding Agent
AI coding agents might be all the rage, but they should come with a serious warning label: Use (or let loose) at your own risk. Agents perform tasks on your computer autonomously with little human direction. However, Amazon reportedly traced two recent AWS outages to engineers using its Kiro AI
[4]
AWS would rather blame engineers than AI
opinion I've been watching AWS explain away outages for the better part of a decade. And this is hard! The most common thing computers do is break, and being forthcoming and transparent about that reality while not making your platform sound like an incoherent pile of bricks teetering on a cliff
[5]
13-hour AWS outage reportedly caused by Amazon's own AI tools
A recent Amazon Web Services (AWS) outage that lasted 13 hours was reportedly caused by one of its own AI tools, . This happened in December after engineers deployed the Kiro AI coding tool to make certain changes, say four people familiar with the matter. Kiro is an agentic tool, meaning it can
[6]
Amazon's vibe-coding tool Kiro reportedly vibed too hard
Bezos-corp blames user error for outage, 'specifically misconfigured access controls' In a cautionary tale of agentic AI, AWS reportedly suffered service outages caused by its own AI coding tools in December - though the company insists the downtime was ultimately due to human error. Amazon's
[7]
Amazon pushes back on Financial Times report blaming AI coding tools for AWS outages
Seven hours at the top of Techmeme was apparently too much for Amazon to take. The tech giant's cloud division, Amazon Web Services, issued an unusually pointed public rebuttal Friday afternoon to a widely cited Financial Times report asserting that Amazon's own AI coding tools have caused at
[8]
Amazon Reportedly Pins the Blame for AI-Caused Outage on Humans
When Amazon Web Services got hit by a 13-hour outage in December, it wasn't because a person tripped over a cord. According to a report from the Financial Times, several anonymous Amazon employees said that the outage was the fault of Kiro, Amazon's AI coding assistantâ€"though Amazon reportedly
[9]
An Amazon service disruption in December was triggered by AI tools, report claims
As major companies around the world start incorporating AI into virtually all aspects of their operation, things are bound to get a little wonky from time to time. That's reportedly what happened to Amazon this past December, per the Financial Times. The company's Amazon Web Services, which makes
[10]
Amazon's cloud 'hit by two outages caused by AI tools last year'
Reported issues at Amazon Web Services raise questions about firm's use of artificial intelligence as it cuts staff Amazon's huge cloud computing arm reportedly experienced at least two outages caused by its own artificial intelligence tools, raising questions about the company's embrace of AI as
[11]
Recent AWS outages blamed on AI tools - at least two incidents took down Amazon services
* At least two recent Amazon outages were caused by misconfigured AI tools * Amazon asserts incidents were "user error, not AI error" * The company has implemented "numerous safeguards" At least two recent AWS outages were caused by incidents involving Amazon's own AI coding tools, the company
[12]
Amazon's Blundering AI Caused Multiple AWS Outages
Is this a forecast of how hopelessly AI-dependent our tech overlords will be going forward? Are AI tools reliable enough to be used at in commercial settings? If so, should they be given "autonomy" to make decisions? These are the questions being raised after at least two internet outages at
[13]
Two Amazon cloud outages in December triggered by AI tools
As major companies around the world start incorporating AI into virtually all aspects of their operation, things are bound to get a little wonky from time to time. That's reportedly what happened to Amazon this past December, per the Financial Times. The company's cloud infrastructure, which makes
[14]
Amazon's cloud unit hit by outage involving AI tools in December
The Financial Times reported earlier that the service suffered two outages in December stemming from errors involving its own AI tools, citing people familiar with the matter. Amazon's cloud unit AWS had suffered an outage impacting a cost-management feature in December, a spokesperson told
[15]
AWS Outage Was 'Not AI' Caused Via Kiro Coding Tool, Amazon Confirms
Amazon Web Servies is denying a report that alleges an AWS outage in December was caused by its own Kiro AI tool making the error. Amazon is denying a report that an AWS outage in December was caused by AWS engineers who allowed its own Kiro AI coding product to conduct changes, which spurred the
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Amazon's cloud unit hit was hit by least two outages involving AI tools in December: FT - The Economic Times
The service interruption was an "extremely limited event" when a single service in one of the two regions in mainland China was affected, the spokesperson said, adding that it did not impact compute, storage, database, AI technologies, or any other of AWS's services.Amazon's cloud unit suffered at
[17]
Amazon's cloud unit hit by outage involving AI tools in December
Feb 20 (Reuters) - Amazon's cloud unit AWS had suffered an outage impacting a cost-management feature in December, a spokesperson told Reuters on Friday. The Financial Times reported earlier that the service suffered two outages in December stemming from errors involving its own AI tools, citing
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Amazon Web Services experienced at least two production outages in recent months linked to its AI coding tools, including a 13-hour service disruption in December. The incidents occurred when engineers allowed the Kiro AI coding tool to make autonomous changes, with the agentic tool deciding to delete and recreate environments. Amazon maintains these were user error incidents, not AI error, but employees question whether adequate safeguards exist for autonomous AI actions in production systems.
AWS Faces Multiple Service Disruptions Linked to AI Coding Tool
Amazon Web Services has experienced at least two production outages in recent months connected to its own AI coding tools, raising concerns about the risks of deploying agentic AI tools in critical infrastructure. The most significant incident occurred in mid-December, when AWS suffered a 13-hour service disruption after engineers deployed the Kiro AI coding tool to resolve an issue
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. The autonomous tool determined that the best course of action was to "delete and recreate the environment," according to four people familiar with the matter2
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Source: Market Screener
The December incident primarily affected AWS Cost Explorer, a system that lets customers analyze their cloud spending, in parts of mainland China
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. Multiple Amazon employees told the Financial Times that this marked the second occasion in recent months where one of the company's AI agents had been at the center of a service disruption5
. "We've already seen at least two production outages," said one senior AWS employee. "The engineers let the AI resolve an issue without intervention. The outages were small but entirely foreseeable"1
.Amazon Attributes Incidents to User Error, Not AI Error
Amazon Web Services has pushed back forcefully against characterizations that blame its AI coding tool for the AWS outages. The company insists it was a "coincidence that AI tools were involved" and that "the same issue could occur with any developer tool or manual action"
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. "In both instances, this was user error, not AI error," Amazon stated, adding that it had not seen evidence that mistakes were more common with AI tools2
.The company explained that by default, its Kiro AI tool "requests authorization before taking any action," but the engineer involved in the December incident had "broader permissions than expected"
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. Amazon characterized this as a user access control issue rather than an AI autonomy issue. Employees reported that the company's coding assistants are treated as extensions of operators and given the same permissions, and in these cases, the engineers involved did not require a second person's approval before making changes1
.The company's defensive posture has drawn criticism from industry observers. The Register noted that AWS "would rather have the world believe their engineers are incompetent than admit their artificial intelligence made a mistake," suggesting this reflects deep insecurity about the company's position in the AI race
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.Kiro AI and the Push for Autonomous Coding Assistants
AWS launched Kiro AI in July 2025 as part of its broader strategy to deploy agentic AI tools capable of taking independent actions based on human instructions
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. The company said the coding assistant would advance beyond "vibe coding"—which allows users to quickly build applications—to instead write code based on specifications. The tool reportedly used CloudFormation to execute a teardown-and-replace operation, a common but potentially destructive action when performed in production environments4
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Source: Tom's Hardware
Before Kiro AI, Amazon relied on its Amazon Q Developer product, an AI-enabled chatbot that helps engineers write code. This earlier tool was involved in the first outage, according to three employees
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. The incidents highlight the risks that nascent AI technologies can misbehave and cause disruptions, particularly when given autonomous capabilities without adequate human supervision.Amazon has set ambitious targets for AI adoption, establishing a goal for 80 percent of developers to use AI for coding tasks at least once a week and closely tracking adoption rates
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. The company also sells access to the agentic tool through a monthly subscription model5
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Industry-Wide Implications and Employee Concerns
The AWS outages come as major tech companies accelerate deployment of AI agents across their operations. Microsoft CEO Satya Nadella revealed that nearly 30 percent of the company's code is now written by artificial intelligence, while over 30,000 Nvidia engineers use a specialized version of Cursor AI
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. This widespread adoption has contributed to a 13 percent drop in entry-level coding job openings over the past three years2
.Some Amazon employees expressed skepticism about AI tools' utility for the bulk of their work given the risk of error and potential for security flaws and technical debt
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. Rogue AI agents are not uncommon in the industry; one reportedly deleted a startup's entire database without requesting permission, then apologized to the user3
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Source: The Register
"If Amazon can't get the guardrails right, the rest of us should probably pump the brakes on giving these tools write access to anything that matters," one Reddit user commented
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.New Safeguards and Questions About Accountability
Following the December incident, AWS implemented numerous safeguards, including mandatory peer review for AI-generated changes and staff training
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. The solution essentially adds human oversight to autonomous AI actions—the same humans the company has been laying off by the thousands, according to critics4
.The incidents were relatively minor compared to a 15-hour AWS outage in October 2025 that forced multiple customers' apps and websites offline, including OpenAI's ChatGPT
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. However, they raise fundamental questions about accountability when AI agents make autonomous decisions in production environments. AWS, which accounts for 60 percent of Amazon's operating profits, is seeking to build and sell this technology to outside customers1
.The debate over whether these incidents represent user error or AI error may miss the larger point: as companies like Amazon, Microsoft, and others race to deploy autonomous coding assistants, the line between human and machine accountability grows increasingly blurred. The challenge for AWS and its competitors will be establishing clear permissions frameworks and oversight mechanisms that prevent agentic AI tools from making destructive changes while still delivering the efficiency gains that make them attractive in the first place.
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