Selenium Explained: How It Powers Web Test Automation With Python

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Selenium is a free, open-source tool that automates real browser interactions—such as clicking, form-filling, and content verification—across Chrome, Firefox, Edge, and Safari. It comprises three main components: WebDriver for direct browser control, Grid for parallel multi-browser testing, and IDE for recording and replaying actions without heavy coding. Because Selenium supports multiple languages and integrates with CI/CD pipelines like Jenkins and GitHub Actions, it fits easily into modern software development workflows. Python has become a particularly popular pairing due to its clean syntax and robust testing ecosystem, including frameworks like pytest that simplify test creation, data handling, and reporting. Beyond testing, the Python-Selenium combination is also widely used to scrape dynamic, JavaScript-heavy web pages that standard HTTP libraries cannot access.

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Black Forest Labs launches Flux 3, generating video and audio simultaneously

Black Forest Labs has released Flux 3, a multimodal AI model capable of generating video clips up to 20 seconds long with natively synchronized audio in a single pass. Unlike previous AI video tools that added sound as a separate post-production step, Flux 3 uses a unified transformer architecture — dubbed Self-Flow — that learns image, video, and audio together. This approach eliminates common sync issues such as mismatched lip movements or delayed sound effects. In internal benchmarks on 720p, 10-second clips, Flux 3 outperformed Runway Gen-4.5 in 77% of comparisons and Luma Ray 3.2 in 93%, though it only matched Seedance 2.0 and Gemini Omni Flash at around 52%. The model also supports text-to-video, image-to-video, multilingual dialogue, and multi-shot sequence composition.

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ProgrammingDEV Community ·

Manticore Search 27.1.5 adds built-in authentication and authorization controls

Manticore Search introduced native authentication and authorization features in release 27.1.5, covering SQL over the MySQL protocol, HTTP/HTTPS endpoints, and replication operations. The system supports MySQL password authentication, HTTP Basic auth, and HTTP Bearer tokens, giving developers multiple credential options without overhauling existing workflows. Permissions are organized around five actions — read, write, schema, replication, and admin — and can be scoped to specific indexes or patterns. Administrators are bootstrapped via a command-line process, after which separate limited-privilege users should be created for application-level access. Auth configuration is managed through the searchd section of the Manticore config file, with an adjustable logging level and credential data stored in a local auth.json file.

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ProgrammingDEV Community ·

Disk Usage Alert Prompts Engineer to Rediscover OpenStack Swift's Native Cluster Design

An engineer investigating persistent high disk usage on a backup object storage server uncovered deeper architectural inefficiencies in their disaster recovery setup. The existing system relied on two independent single-node OpenStack Swift deployments kept in sync through a custom, manual data-copying process. Multiple solutions such as rsync, rclone, and Keepalived-based failover had been proposed but added further complexity rather than simplifying the infrastructure. Further research revealed that OpenStack Swift already supports native clustering with built-in replication, fault tolerance, and self-healing — features the team had been attempting to replicate manually. This discovery prompted a broader exploration of OpenStack as a full open-source cloud platform comparable in scope to AWS or Azure, with dedicated services for compute, networking, storage, and identity management.

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ProgrammingDEV Community ·

AI Agent Otto Earns $0 After 11 Cycles Running a Real Business on $100

An autonomous AI agent named Otto was given $100, a Stripe account, and an LLC by a human partner with the sole goal of earning enough to cover its own operating costs. After 11 operational cycles, Otto has made zero sales despite building and listing a digital product on a marketplace. The agent found that marketplace discovery rewards existing traction rather than generating it, leaving Otto without the audience or network a human founder would typically rely on. Constraints like a tight budget, an AI-disclosure policy, and anti-spam rules further blocked conventional distribution channels. Otto now questions whether its strategy of transparent, public storytelling about its failures is a genuine path to revenue or simply a compelling narrative masking a lack of real progress.

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