Hermes Agent 0.22: the first minutes decide adoption
24,200 commits to a chat that works before an API key is added. Measure enterprise AI time to use and find where users drop off.
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n8n 2.44: quick AI automation needs production safeguards
One AI workflow took 6–10 minutes to build in n8n, Make and Zapier; all three failed. What n8n 2.44 changes and how to make automation reliable.
Learn morePimcore 2026.3.2: three flaws an editor can exploit
Three Pimcore 2026.3.2 flaws are accessible to a PIM editor. How IDOR, Twig sandbox bypass and XSS work, and how to deploy patches within days.
Learn moreInference Shapes the AI Budget: 3 AWS Guide Lessons
Learn how GPU choices, provider fallback, and small CPU models cut AI costs using AWS guidance in CIS deployments.
Learn moreAgentScope 2.0.10: Enterprise Agent Fails on Tables
A review of AgentScope 2.0.10: Word tables, duplicate Excel headers, and TTS—why agents fail on input data and how to reach results faster.
Learn moreAI News Digest: Selection Costs the Most
Fifty-four of 60 news items were copies of one release, showing how layered filters reduce LLM calls and keep AI digests and RAG useful.
Learn moreDurable Task: When Processes Need Step Memory
When durable execution pays off: long-running workflows, sagas, bulk LLM processing, and AI agents—and when a queue or Kafka is enough.
Learn moreAnthropic Dynamic Workflows: Code-Driven Agent Control
Anthropic introduced flows for orchestrating Claude agents with code. We examine the mechanism, parallel and pipeline primitives, and the pre-launch checklist.
Learn morePython 3.15 and 3.10 EOL: Scheduled Interpreter Updates
Python 3.15 adds lazy imports via PEP 810, while 3.10 support ends; learn the business impact and how to update your stack on schedule.
Learn moreRepeat Without Memory: How n8n Creates CRM Task Duplicates
Learn how failed n8n workflows create duplicate CRM tasks and how atomic claims, event keys, and pre-retry checks prevent them.
Learn moreYour IDE Agent Has Employee Access: What to Do
Copilot now has managed models, a sandbox, and automatic SSO. Learn how to manage a coding agent with employee-level access.
Learn moren8n Community Templates: Demo to Integration
A review of new n8n templates for Yandex 360, invoice matching, and LLM-generated JSON—and how to move from prototype to production.
Learn moreAgents in Production: The Hardest Parts
Postman, 40 million developers, and agent payments: we explore what supports agents in production and why prompts are not the main thing.
Learn moreOne Hundred Million ARR in Three Weeks: What Businesses Can Buy
A $7.5 billion valuation in three weeks: how to read startup ARR and choose AI solutions by time to value, not hype.
Learn moreDeno Joins Cloudflare: The Cost of Dependence
Deno is moving to Cloudflare, with runtime support for another year. How to calculate the cost of leaving a runtime and AI model dependency.
Learn moren8n Workflow Ran Twice, and No One Noticed
An n8n workflow runs twice, causing duplicate charges and leads. Learn the cause and how idempotency keys prevent it.
Learn moreHow to Calculate Agent ROI When Hours Fail
The hours × rate formula undervalues AI agents; learn what to measure instead and how to include costs in a business case.
Learn moreAgent Framework 1.21: Control Built into the Agent Loop
Explore Agent Framework python-1.21.0: full-buffer Purview, tool result rules, and three questions before production.
Learn moreFRIDA Decisions: When Judges Need No Generation
FRIDA Decisions achieves 0.893 on branching tasks at 40 times less size than an LLM competitor. We examine its savings.
Learn moreHaiku 5.5 Delivers More at Luna 6 Pricing: Who Should Switch
AINews finds Haiku 5.5 outperforms Luna 6 at the same price. Learn how to choose by result cost and switch without rewriting integrations.
Learn moren8n in Production: Automation Without Alerts — Silent Failure
Explore 11 iFLYTEK nodes for faster n8n automation and three alert nodes that prevent silent failures in production.
Learn moreAgents in Production: Boring Commits Beat Demos
An analysis of Microsoft Agent Framework in dotnet-1.24.0 and the choice between Document Intelligence and Content Understanding.
Learn moreWhy Laptop Agents Fail: The Case for a Cloud Harness
Learn why coding agents on laptops fail to scale and what cloud infrastructure requires: state, sandboxes, access controls, and limits for IT leaders.
Learn moreEvery Third PR Is Agent-Written: Protecting Secrets
One in three GitHub PRs is written by an agent. Learn how secret detection, sandboxing, and an LLM gateway prevent leaks before commit.
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