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9901 articles page 225 of 496 0 sources 30 min sync cycle
08:11
2026-05-26
avrea.com
ai-startups · 4m read ↑ pos

Launching Avrea: CI that helps teams ship faster

Avrea, a new CI/CD platform built for the AI era, launched today to help software teams ship code faster by addressing pipeline bottlenecks. Founded by two experienced technology company builders, Avrea integrates with e…

08:05
2026-05-26
microsoft.github.io
artificial-intelligence · 1m read · neu

SkillOpt – Executive Strategy for Self-Evolving Agent Skills

SkillOpt introduces a method for improving AI agent performance by treating skills as external state, allowing a frozen agent to be evaluated on scored batches while a separate optimizer model proposes structured edits. …

08:01
2026-05-26
volary.ai
ai-agents · 4m read · neu

Out of the Loop

The rapid adoption of coding agents has created a critical gap in software development, as these AI tools lack the contextual knowledge of engineering tradeoffs, design decisions, and team priorities that human engineers…

07:57
2026-05-26
heltweg.org
ai-agents · 4m read · neu

Improving Local Techdocs for Your AI Coding Agent

A team building a self-improving knowledge base called Morsel developed a method to structure technical documentation for use by local AI coding agents. The process classifies pages using rules and a local LLM, embeds co…

07:49
2026-05-26
news.ycombinator.com
ai-products · 1m read · neu

Ask HN: Which product branding do you prefer?

A Hacker News user is seeking community feedback to choose between two product brand names: hackerman.ai and koieditor.com. The user posted the question to the "Ask HN" forum, asking which branding option is preferred.

07:43
2026-05-26
arxiv.org
large-language-models · 2m read · neu

Prompt Politeness Affects LLM Accuracy

A new study found that impolite prompts produce more accurate responses from large language models than polite ones, with accuracy rising from 80.8% for very polite prompts to 84.8% for very rude prompts. Researchers at …

07:38
2026-05-26
dev.to
machine-learning · 1m read · neu

I just published Part 1 of "The Machine Learning Engineering Series", where I break down the full lifecycle: how raw data becomes a trained model, gets containerised, and ships as a live API that…

Michellebuchiokonicha published Part 1 of "The Machine Learning Engineering Series," detailing the full lifecycle of how raw data becomes a trained model, is containerized, and ships as a live API for other engineers to …

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