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The New Stack | DevOps, Open Source, and Cloud Native News

Agentic development hinges on verification. For cloud-native software, that is a runtime problem. AI agents need infrastructure: Why Europe’s regional cloud strategy matters Transform your AI coding agent into a deterministic Java Spring expert WeAreDevelopers is coming to the US to give unsung developers a bigger voice Cleaner AI training data, fewer bugs: Sonar’s SonarSweep explained Observability overload is drowning engineers Google’s DiffusionGemma is 4x faster than its other Gemma models Fable 5: Guardrails and burn rate are annoying users, who say it’s still better than Opus 4.8 The Anthropic leader who built Claude Code says he ditched prompting — now he just writes loops. AWS can now mathematically prove your VMs are isolated Microsoft pulled 73 GitHub repos after malware attack — but still won’t say who’s compromised Databricks wants to kill the “email me a file” problem for AI agent skills Ramp bets forward deployed engineers can do what off-the-shelf finance AI can’t Git real: AI agents aren’t just for solo developers anymore Anthropic launches Claude Mythos/Fable 5, but you better try it soon This AI agent startup ditched Anthropic for DeepSeek — and says it’s saving millions When your data model is the bottleneck: lessons from Medium’s feature store How long before we stop reading the code? The tokenmaxxing party is over, and Revenium is mopping up How AI is solving the memory crunch it created Microsoft’s pitch to enterprises: Ditch Azure Repos for GitHub, despite its rocky reliability record Claude Code’s biggest upgrade yet ran 5 agents at once — here’s what happened Why Anthropic just doubled Claude Cowork limits at no charge For years, Apache Cassandra handed this work to your team — 6.0 takes it back “A dangerous combination”: The 2 factors that can “corrupt” AI agent workflows With Foundry, Microsoft bets the enterprise AI battle is about reliability, not capability Microsoft unlocks Visual Studio for developers left behind by its own AI AI teams now deploy 1,000 times a month. Your pipeline wasn’t built for that. Microsoft just made the agent runtime free — and kept everything around it “Whoever builds the most joyous product wins”: The agent war begins Netlify CTO Dana Lawson: Writing code is no longer the job From Jupyter Notebook to production: How to ship AI systems that actually work OpenClaw used Gavriel Cohen’s code and exposed the AI Agent accountability problem Replit shows how vibe coding is getting its own financial stack — and a path to profit Cloudflare aqui-hires VoidZero: Did a piece of the open web just stabilize, or become more brittle? Cursor cuts prices and adds enterprise spend controls amid “tokenomics” reckoning Google Gemma 4 12B nearly matches 26B benchmarks — and runs on your laptop Snowflake thinks it knows what’s really slowing developers down Autonomous agents have met their biggest challenge yet: The database. Why agentic AI makes the ops platform the most important layer in the enterprise How to dramatically improve enterprise security alert tuning to battle cyberattacks Why the need for humans won’t disappear in the age of autonomous databases How to secure Kubernetes in the age of AI workloads Asana says its new AI “chief of staff” turns your Slack chaos into trackable work Nvidia’s best model is now live Mate Security’s Asaf Wiener made every backend engineer a model router. He’s right to. 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Here’s why. Why GPT-5.4, Claude, and Gemini can’t agree on basic, real-world facts Replit’s vibe coding platform just got a Visa-backed identity layer for AI agents — and it changes how agents spend money Opus 4.8 Made Claude Smarter. Token Discipline Got Urgent. Why Linux creator Linus Torvalds gets angry hearing “99% of code is AI” Vendor neutrality isn’t magic: A hard look at the OpenTelemetry ecosystem “The AI did it” won’t save you when EU regulators come knocking The fix for soaring AI cloud bills exists — so why won’t we trust it? AI is shipping code faster than security was built to handle Why AWS scrapped OpenSearch’s architecture to chase agent workloads Claude Opus 4.8 is here: effort controls, dynamic workflows, cheaper fast mode, better honesty, less deception Percona celebrates 20th birthday with new foundation — and a goat cake Why OpenAI and Anthropic are hiring forward deployed engineer teams Claw-style AI agents are coming to the enterprise. The governance infrastructure is still catching up. The agentic identity crisis: Why your security isn’t ready for the AI revolution Debugging the undebuggable: building observability into probabilistic AI systems Snowflake commits $6B to AWS as it pushes deeper into AI Why MotherDuck refuses to fork DuckDB Researcher “gave Claude Code ‘ADHD’… and it thinks 2x better now.” Outside experts want more proof. “There is no accountability”: AI coding agents are installing packages no one owns “Tokenmaxxing is real, expensive & it’s spreading”: AI budgets are exploding With Google’s debut, the most important AI agent feature is now the most boring one Why AI agents need a Context Lake Google ranks the best AI for building Android apps, and the winner isn’t Gemini Google pushes Pro, Ultra, and free users from open-source Gemini CLI to closed-source Antigravity CLI The reason enterprise outages almost never start where ops teams think Taming the agentic influx: a blueprint for AI business observability How the AC/DC framework helps teams govern AI coding agents GitLab 19.0 trades its string section for a full DevSecOps orchestra Who’s monitoring the agents? How Jaeger hit 8.6× compression on 10 million spans with ClickHouse What ClickHouse learned from a year of coding with AI agents OpenClaw passed 300,000 GitHub stars. Then Google launched Spark.
Kiro goes mobile: AWS brings agentic coding supervision to the iPhone
Darryl K. Taft · 2026-06-18 · via The New Stack | DevOps, Open Source, and Cloud Native News

AWS has launched a native iOS app for Kiro, its AI-powered development environment, giving developers a way to monitor, steer, and approve agentic coding sessions from their phones, with no laptop required.

The app, announced at the AWS New York Summit, lets developers start sessions, review diffs, and approve changes while away from their desks. Compute runs in AWS’s cloud backend, meaning a session kicked off from a phone continues running even after the screen goes dark.

“There’s this little quote-unquote developer anxiety of like, I want to go back to my agent and do stuff,” Darko Mesaros, Principal Developer Advocate for Kiro at AWS, tells The New Stack. “Developers were asking for a way to interact with these agents.”

The release reflects a broader shift in how AWS thinks about agentic development, he notes. “As autonomous agents take on longer-running tasks across multiple repositories, the bottleneck moves from writing code to managing the agents doing the writing. Kiro Mobile is designed to keep developers in the loop without chaining them to a workstation,” Mesaros says.

“Kiro now lets you delegate, walk away, and come back to a PR,” writes Kyle Seaman, Principal Product Manager for Kiro, in a blog post about the release. “Continue a spec-driven workflow and let Kiro pick up where you left off. Or kick off an autonomous session from your phone or the web and Kiro runs independently in the cloud sandbox, inspecting files, and running tests. When Kiro needs your input, it pauses. You respond from wherever you are, pick a direction, and the work continues from where it left off.”

Three modes, one agent

The app supports the same three session modes available on Kiro Web: Chat, for quick queries; Spec, for requirements-driven workflows; and Autonomous, for fully delegated tasks. Sessions started on the web surface automatically in the mobile app, with the same identity, model preferences, and connected repositories.

Diffs render as native red and green cards with file headers, designed for readability on a small screen. PR and code review status appears on every session row. AWS built the experience natively rather than adapting its web interface for mobile. Mesaros was direct about this.

“Instead of a relatively clunky web interface, it’s a native application for the iPhone,” he says.

Spec-driven as the foundation

The iOS launch arrives alongside AWS bringing spec-driven development to Kiro Web, a workflow the company describes as central to how engineers build software internally.

Rather than prompting an agent to implement a feature and hoping for the best, spec-driven development asks the agent to first produce a requirements document, a design document, and a task list. The developer reviews and approves those artifacts before the agent writes a line of code.

“Spec-driven development is the solution to AI coding slop,” Mesaros explains. “It’s a contract between the agent and the developer. It keeps these agents from wandering off and making changes to stuff they shouldn’t necessarily be making.”

Mesaros said roughly 80% of AWS software engineers currently use Kiro, with spec-driven workflows built into that practice. Kiro automates the generation of design docs and requirements specs, reducing the manual overhead that historically made the spec-driven development difficult to sustain, he notes.

DevOps Agent gets code review

AWS is also releasing in preview a code review capability for its DevOps Agent. This feature lets the agent review and test AI-generated pull requests before they reach production. This is their acknowledgment that the volume of AI-generated code is outpacing human review capacity.

“You have so much code being generated these days, and these AI-generated pull requests are things we’re trying to sort out,” Mesaros says. “The DevOps Agent can help handle that load by outpacing human reviews.”

Availability

Kiro Mobile is available in preview on iOS 17 and later for Kiro Pro, Pro+, and Power subscribers. A waitlist is open; access is by invitation. Sign-in is supported via Google, GitHub, IAM, or AWS Builder ID. The company did not set a general availability date.

Android support is not currently planned. AWS said it made the iOS-first decision based on developer requests submitted through GitHub issues and Discord, and that it would evaluate Android based on future demand.

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