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NASA is offering a $150,000 reward to anyone who can solve a problem affecting spacesuits for lunar missions. The challenge is tied to the issue of static electricity on the Moon, where lunar dust clings to suits because there is no atmosphere to dissipate charge. The reward comes as NASA prepares for upcoming crewed Artemis landings, and space enthusiasts are sharing details of the incentive online.

A compiled list of static analysis tools is drawing attention among software developers, offering an overview of tools that automatically examine source code for bugs, security flaws and style issues before programs run. Engineers are sharing the roundup as a practical reference when choosing code-quality tooling for different programming languages and development workflows.

Sivut huomiseksi, a Finnish web agency whose name means "pages by tomorrow", says it builds SEO-optimised websites for small and medium-sized businesses in Finland starting at 299 euros, often delivered the next day. The company says its static sites are built with AI, making them fast and low-maintenance with no plugins.

A developer argues that conventional Unix tooling, such as a 1976 Makefile and the 1983 init.d directory structure, can outperform long English prompt rules when working with AI systems. The claim is that prompts merely link symbols statically, while decades of established computer science convention are already baked into models' training, so older, well-documented structures communicate intent more effectively than verbose instructions.

HotDog CMS has been released as an open website builder that stores pages as Markdown files in git, runs its editor entirely in the browser, and serves sites as static pages so the editor never touches the web server. The developers caution it is version 0.1.0, assembled from their internal tools, and was previously used to power their own sites.

MirroS has open-sourced AgentGarten, a system in which AI agents learn by playing inside simulated code worlds rendered live. The release makes the platform's code publicly available, letting researchers and developers build and run interactive environments where agents train through play rather than static datasets. The move is drawing attention as open-source simulation becomes an increasingly popular approach for developing capable AI agents.

Researchers have introduced a new computational framework based on optimal transport that can reconstruct gene regulatory networks and predict cell fates using single-cell snapshot data. The method aims to infer dynamic cellular processes, such as differentiation trajectories, from static measurements of individual cells. The work is being reported in the computational biology and bioinformatics community, where it is seen as a potentially useful tool for studying how cells transition between states.