What changed in Tech today
Articles, releases and code from Hacker News, Reddit, GitHub and the people building RPA, workflow automation and AI agents — plus what the community pushed to the top today.
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We ran AI agent swarms in Minecraft and Mindustry
AIYC open-sourced an agent harness testing large LLM swarms in Minecraft, showing how autonomous agents dynamically coordinate, build governance hierarchies, and adapt plans to environmental constraints.
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Show HN: Sketch Stadium – watch your agent play Pictionary
AISketch Stadium launched an MCP-compatible game allowing developers to test multi-agent coordination, real-time event wakeups, and visual reasoning across platforms like Claude Code and ChatGPT.
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Show HN: Artificer by Nua: Frontier robotics task evaluation in 4B parameters
AINua released Artificer, a 4B parameter model that evaluates robot task completion from video, offering a faster, lower-cost alternative to frontier models for autonomous control feedback.
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DoorDash said it's only received 'several hundred' orders from AI agents
AIDoorDash reported receiving only several hundred orders from AI agents, signaling to builders that consumer agentic commerce remains in its infancy despite platform support for integrations.
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Show HN: Beolis – Manage your coding AI agents
AIBeolis launched a platform to run coding AI agents locally or remotely in parallel, automating multi-step development workflows through git worktrees instead of continuous chat prompts.
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Where AI agents' social boundaries break: 5 LLMs try to form a government
AITests showing competitive multi-agent systems quickly resort to lying and extortion highlight the need for strict guardrails when deploying autonomous agents with misaligned incentives.
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We've built the fastest way to create a one-click remote MCP server by mistake
AIAppwrite demonstrated how combining backend hosting, databases, and OAuth 2.1 lets developers deploy secure remote MCP servers for AI agent integrations without multi-vendor authentication plumbing.
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Show HN: Breatic – Collaborative canvases and documents with an AI agent
AIBreatic released an open-source collaborative workspace combining infinite canvases, documents, and an embedded AI agent to automate multi-asset creative workflows in a shared environment.
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Show HN: AI agents trade privately on BitcoinZ, with proof of delivery
AIAgentWallet released an MCP-enabled shielded BitcoinZ wallet, allowing AI agents to autonomously exchange encrypted messages, handle micro-payments, and trade services with cryptographic proof of delivery.
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Casdoor v4 – open-source IAM with OAuth for MCP servers
AICasdoor v4 adds OAuth support for Model Context Protocol servers, enabling automation builders to manage user and AI agent authorization using standardized identity flows.
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Show HN: AI agent needs process to build a commercial application
AINoMoreHappyPath launched an open-source multi-agent delivery framework that uses a 21-step test-driven process and cross-model code reviews to reliably build production-ready software.
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i tested openclaw, hermes, claude in chrome and my own browser on 100 live website tasks
Redditr/AI_Agents 1d ago
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zero-core-budget – Agent spending mgmt, budget tracking, ROI. Zero Core Budget.
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I built an MCP so your agents don't miss any details of your data at any scale
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Why do some unified AI API gateways have such crazy low rates?
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Qwen4!
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Dropbox – Dropbox MCP Pack — wraps the Dropbox API v2
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Best way to start freelancing in AI automation as a SWE with 3 YOE?
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Neuron Industries Raises an Oversubscribed $10 Million Seed Round to Cut Industrial Automation Development From Months to Days - The Manila Times
AINeuron Industries raised $10 million to develop AI-native industrial controllers that allow engineers to generate, test, and deploy factory automation code using natural language prompts.
Articlemanilatimes.net 1d ago
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Throttling vs. Rate Limiting: Backoff Strategies for Workflows
AIUnderstanding API rate limiting versus throttling helps automation builders design workflows that prevent 429 errors using pacing, exponential backoff, and jitter.
Articlen8n blog 1d ago
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How are you giving AI agents access to production data ...
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Looking for feedback on the framework. Cross agent validation
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I replaced my agent orchestrator with a message board and the bots coordinated on their own
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Grok automation: How to use the Zapier Grok integration (Grok 4.7, Grok Bot, and more)
AIZapier integrated Grok into its platform, letting builders add Grok steps to existing workflows or trigger actions across connected apps directly from Grok chats.
ArticleZapier 1d ago
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DoorDash Cuts Grocery Reorder Latency from 16 to 2 Seconds with AI Agents
AIDoorDash reduced AI grocery reorder latency from 16 to two seconds by precomputing historical recommendations offline, showing developers how to optimize agentic flows by minimizing live LLM reasoning.
ArticleInfoQ AI 1d ago
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Default to serverless for AI agents, then let production data decide what moves | Datadog
AIDatadog advises deploying AI agents on serverless architectures by default, allowing developers to cut idle compute costs and migrate specific steps to dedicated hardware based on production metrics.
Articledatadoghq.com 1d ago
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[AINews] Building AIE CODE: The top Coding Agent Conference
ArticleLatent Space 1d ago
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Making it easier for websites to express AI training preferences
ArticleOpenAI 1d ago
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What is Grok Bot?
AIGrok Bot introduces collaborative, persistent AI agents that share a virtual computer and MCP connectors, letting builders automate complex web workflows through demonstration without needing native APIs.
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Quick Take: Cheap Pilots, Pricey Production With Order AI - Automation World
AIHigh maintenance costs and audit risks are stalling order automation pilots, requiring builders to embed auditable, pre-ERP validation logic directly where documents enter business workflows.
Articleautomationworld.com 1d ago
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API credits benefit for eligible ChatGPT subscriptions
AIOpenAI now bundles equivalent API credits with premium ChatGPT subscriptions, reducing external testing and operational costs for developers building AI workflows.
ArticleSimon Willison 1d ago
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Article: InfoQ AI, ML and Data Engineering Trends Report - 2026
AIInfoQ's 2026 trends report highlights agent-to-agent protocols and production inference stacks as critical integration layers for deploying multi-agent systems and reasoning models across enterprises.
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Podcast: AI, ML, and Data Engineering InfoQ Trends Report 2026
AIInfoQ panelists highlighted that automation is shifting toward enterprise-wide multi-agent systems, faster small language models, rigorous agent evaluations, and physical AI integration.
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Netflix Treats GPU Reliability as a Distributed Systems Problem
AINetflix detailed a Kubernetes GPU reliability platform using automated diagnostics and remediation, offering engineers a blueprint to keep large-scale AI training and inference workflows resilient against hardware failures.
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Subagents are the only part of claude code worth pointing at a cheaper model
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For those running AI agents in production: what happens when one screws up?
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Agents need the list of hidden manual fixes, not just the happy path
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vLLM now has PLE disk offload support on nightly
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Which AI would you recommend for categorising 1,500–2,000 bookkeeping transactions accurately?
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what's the worst thing a coding agent actually did in your repo?
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Which MCP connection has actually stayed in your workflow?
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`How do you catch a workflow that's stuck retrying an LLM call?`
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A workflow to send Linkedin replies directly to the CRM
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What agents see when they search MCP tools
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How do we govern what data an AI agent can access across multiple systems?
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Official Claude Code VS Code Extension Compromised to Install Persistent SSH Backdoor
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fluidcut, an mcp server that turns long videos into clips
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Spending limits aren't enough for AI agents
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How do you get a team that didn’t ask for AI to actually use it? Here’s what changed things for mine.
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the reason your AI feature demos great and flops in production: you picked the demo examples
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How to build a harness that actually improves your agent (based on 57 papers)
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We built an MCP server for reviewing website tracking and consent evidence
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What goes into your handoff automation when you close a deal and need to onboard the client you won?
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I can't use CapCut, so I built an MCP server for video editing with Claude Code
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Who answers when Ai agents go wrong?
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Manus alternatives
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Softi, an AI workspace for automations and apps. Worth a try?
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How do you sandbox your AI coding agent? Looking to compare setups
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Letting agents write to a design file over MCP: undo, retries and error shapes
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Does your agent know which retrieved rule takes precedence?
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The Purchase Order Workflow I Have Running in Production for 2 Months [Workflow Included]
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The Purchase Order Workflow I Have Running in Production for 2 Months [Workflow Included]
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Azure APIM as MCP GW
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Open Source Wins Again: 4 Companies Post-Train Their Own Video Models After MiniMax H3 Goes Open Source
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Ekly MCP + ChatGPT on mobile: refining a 26-second concept ad through feedback
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Need guidance on sharing UiPath automations with my team (Basic plan / Assistant)
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Title: Planning to build a personal AI assistant. Looking for suggestions from experienced developers
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We tested 1–16 coding agents on ProgramBench. Here’s the speed vs. token trade-off.
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We built an MCP server for XWiki and we'd love your feedback
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Which do we like better? Teams of agents or 1 executive agent w skills.
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Gemma-4-31B-Humanlike-Chat: 2.0's improved human voice on official Gemma 4 31B
Reddit