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Kiro is an AI-powered coding assistant and IDE from AWS that supports the Model Context Protocol (MCP) for agentic development workflows.
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Amazon hired Pedram Rezaei, Microsoft's former Copilot CTO and a 20-year veteran there, as a distinguished engineer on its Quick and Kiro agent products. Amazon's memo says he will keep coding daily. Other employers hiring senior agent builders will be measured against that arrangement.
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AWS published version 1.1 of the AIF-C01 AI Practitioner exam guide on April 30, five weeks after 1.0, with seven new objectives including token pricing. A dev.to review finds older courses still cover most of the exam but are thin on agents, token cost and grounding.
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Kiro Workflows define multi-agent coding runs as JSON or YAML graphs of five node types that the Kiro Runtime executes in the background. The runtime enforces loops and joins, but inputs reach agents as untyped text, so a deploy flag is only as safe as a model's reading of it.
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AWS's new observability surface discovers services and adjusts alarms against the targets you set, and signs engineers in through IAM Identity Center at a URL of your own. Instrumentation coverage decides what it can see.
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The AWS post co-written with HEMA says the structured half of its internal knowledge was already in good shape, and that the procedural half had little written documentation to fall back on.
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Amazon says the mid-December disruption touched only Cost Explorer in one region and came out of a misconfigured role. The safeguard it shipped afterwards, mandatory peer review for production access, governs people.
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AWS says both coding agents it tested defaulted to Text Generation Inference and billed GPU time for each crashed deploy before pivoting to vLLM. Its answer is six editable skill files the agent reads on demand.
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Token Meter reads the trace files Claude Code, Codex and Cursor already leave on a developer's disk and prices them against published model rates. The budget alert it fires goes to whoever ran the session.
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A dev.to post's case for harness engineering rests on one PM's half hour and one investigation where directed context cut a task from about 50k tokens to 15k, a figure the author himself calls an observation.
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The collection encodes ACMG/AMP criteria and GATK4 parameters as markdown that loads on a trigger. The 70 to 86 percent figure AWS publishes comes from head-to-head comparisons with its own unskilled agents.
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Signadot's argument is that the bill for an unattended coding loop is the iterations it needs times the cost of each one, and that only feedback precise enough to localize a fault shrinks both of those terms at once.
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AgentCore Identity now hosts the redirect leg and keeps the tokens, and what you configure in exchange is an OIDC application in your corporate IdP, a service role, and AWS's callback URL inside your GitHub and Slack apps.
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Google's DORA report puts daily AI use among developers at 90% and says the tools amplify whatever workflow they find, which makes problem selection rather than build capacity the input a leader manages this quarter.
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Curated skills are files on your disk. The MCP server is a uvx proxy pinned to us-east-1. A dev.to walkthrough shows the wizard copying 23 skills into four agent trees, and the server going quiet if you press Esc.
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Scope tags live in the task list, while the reviewer grades against the security rules. One AI-assisted builder's two-hour spike turned into a full build day of defensible work on code he planned to delete.
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The plugin.json schema sets additionalProperties:false while section 5.2 tells clients to report unknown fields and carry on loading, so the four-line validate-and-reject loader fails the spec in exactly two places and looks correct everywhere else.
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A helper returned a new object on every render. Framer Motion compares variants by reference, and a once-only viewport trigger never fires again, so elements stayed stuck in their hidden state.
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ADOP keeps agents in development and promotes deterministic artifacts to production, and AWS says your architecture governs the coding tool. The documented path still runs on Claude Code.
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Amazon says you should be able to name every AI agent touching customer data in under a minute. Its own worked example explains why most teams cannot: the record is a file on a laptop.
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