This story was originally published on HackerNoon at: https://hackernoon.com/as-coding-agents-go-mainstream-teams-want-proofand-metrics.
As AI coding agents land deeper in development workflows, organizations seek metrics to assess usage.
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As AI coding agents land deeper in development workflows, organizations seek metrics to assess usage.

This story was originally published on HackerNoon at: https://hackernoon.com/re-prompting-the-loop-that-turns-meh-llm-output-into-production-ready-results.
A practical guide to re-prompting: the 5-step loop that turns vague LLM prompts into stable, structured, production-ready outputs.
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Re-prompting is the practice of adjusting the prompt’s content, structure, or constraints after inspecting the model’’. Re-promPTing lets you tune tone and structure quickly. It can be used for complex asks like product marketing, technical writing, policy summaries.

This story was originally published on HackerNoon at: https://hackernoon.com/governing-and-scaling-ai-agents-operational-excellence-and-the-road-ahead.
Success isn't building the agent; it's managing it. From "AgentOps" to ROI dashboards, here is the operational playbook for scaling Enterprise AI.
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This story was written by: @denisp. Learn more about this writer by checking @denisp's about page, and for more stories, please visit hackernoon.com.

Defines “AgentOps”: metrics, monitoring and feedback loops to run AI agents as long-lived products rather than fragile pilots Surveys the emerging tooling and platform landscape and links it to regulatory trends such as upcoming AI governance requirements Explores cultural and organisational shifts: new roles, trust-building and change management – and closes with a pragmatic roadmap for the next 3–5 years

This story was originally published on HackerNoon at: https://hackernoon.com/we-let-an-ai-run-a-business-here-are-4-of-the-strangest-things-that-happened.
Researchers at Anthropic gave an AI named Claudius a real-world job: running a small shop in their office.
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Researchers at Anthropic gave an AI named Claudius a real-world job: running a small shop in their office. The experiment revealed surprising, counter-intuitive gaps between AI capability and real- world robustness.

This story was originally published on HackerNoon at: https://hackernoon.com/a-new-benchmark-arms-race-is-redefining-what-good-at-ai-even-means.
A new class of benchmarks is emerging to measure how well these systems reason, act, and recover across complex workflows
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This story was written by: @ainativedev. Learn more about this writer by checking @ainativedev's about page, and for more stories, please visit hackernoon.com.

A new class of benchmarks is emerging to measure how well these systems reason, act, and recover across complex workflows.

This story was originally published on HackerNoon at: https://hackernoon.com/can-chatgpt-outperform-the-market-week-20.
I need YOUR help for the future!
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I need YOUR help for the future!

This story was originally published on HackerNoon at: https://hackernoon.com/video-data-synthesis-categorizing-matting-difficulty-by-instance-overlap.
MaGGIe utilizes the V-HIM2K5 and V-HIM60 datasets, categorizing video instance matting into three difficulty levels based on occlusion and overlap.
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MaGGIe utilizes the V-HIM2K5 and V-HIM60 datasets, categorizing video instance matting into three difficulty levels based on occlusion and overlap.

This story was originally published on HackerNoon at: https://hackernoon.com/patterns-that-work-and-pitfalls-to-avoid-in-ai-agent-deployment.
Avoid the "AI Slop" trap. From runaway costs to memory poisoning, here are the 7 most common failure modes of Agentic AI (and how to fix them).
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Highlights deployment patterns that consistently deliver value: start assistive then automate, use specialised multi-agent teams, and go event-driven Details common failure modes: unclear goals, over-promising capabilities, messy data, integration gaps, runaway token costs – and how to mitigate them Provides a checklist to stress-test agent projects before scaling, so you can avoid being part of the “cancelled by 2027” statistic