St. Louis Fed Examines Causes Behind Falling U.S. Labor Force Participation

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The Federal Reserve Bank of St. Louis has published an analysis investigating the reasons behind a notable decline in U.S. labor force participation. The report explores structural and demographic factors that may be driving fewer Americans to seek or hold employment. Labor force participation is a key economic indicator reflecting the share of the working-age population that is employed or actively job-hunting. The findings were shared in August 2026 as part of the Fed's ongoing economic commentary series.

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Developer cuts Chromatic visual testing costs tenfold by consolidating story snapshots

A software developer sharing on DEV Community reduced their visual testing bill by up to ten times by rethinking how Storybook stories are structured for snapshot tools like Chromatic and Percy. The core problem was that rendering every component variant, state, and theme as a separate story generated a large number of snapshots, since most per-snapshot tools bill by the number of stories rendered. The fix involved collapsing related variants — such as sizes, states, and themes for a single component — into one consolidated 'AllVariants' or 'AllStates' story that renders a grid of permutations in a single snapshot. The developer cautions that this approach requires balance: merging a single component's internal matrix works well, but independent pages or unrelated flows should remain as separate stories to avoid coupling unrelated visual diffs. The technique is described as tool-agnostic and applicable to any platform that charges or tracks on a per-snapshot basis.

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ProgrammingDEV Community ·

How to Properly A/B Test AI Avatars Against Text Chat for Conversion Rates

A growing number of AI avatar platforms claim that voice and video avatars convert better than plain text chat, but rigorous independent testing of this claim remains rare. Unlike standard A/B tests, comparing avatars to text chat involves multiple simultaneous changes — interaction modality, response latency, and visual layout — making it harder to isolate the true variable. Experts recommend holding the underlying AI model and knowledge base constant across both variants, while tracking granular metrics such as engagement friction, session depth, and lead quality rather than aggregate conversion rate alone. A notable pattern observed is that avatar variants can drive longer sessions without necessarily improving completed-lead rates, a nuance that overall conversion figures would obscure. Vendor case studies typically benchmark avatars against having no chat widget at all, not against equivalent text chatbots, making self-run controlled tests essential before committing to a premium-priced avatar solution.

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ProgrammingDEV Community ·

EvalPort Introduces 11-Grader System for Framework-Agnostic LLM Evaluation

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ProgrammingDEV Community ·

TryHackMe CTF Exposes Azure Cloud Privilege Escalation via Hardcoded SAS Token

A TryHackMe capture-the-flag challenge called CryptoCabana simulates a real-world Azure cloud compromise stemming from poor security practices. Participants begin by discovering a hardcoded SAS token with read and list permissions embedded in client-side JavaScript on a static Azure website, granting unauthorized access to the storage account. Enumerating the storage containers reveals a hidden vault container holding a service principal credential file, which is then used to authenticate directly to Azure. From there, contestants explore an Azure Key Vault containing four secrets, including three key shards and a protected master key, with the flag reconstructed by retrieving older versions of a rotated shard. The challenge highlights critical cloud security risks such as long-lived tokens, publicly exposed credentials, and insufficient secret rotation practices.

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