Through the lens of cinema, today we’ll look at Software Testing not only as an important aspect of the #tech world, but also as a cinematic art that influences anyone who chooses to take the QA path of professional development, look beyond the digital landscape typical of the average viewer.

Movies are a good choice for an educational tool with an entertaining nature that combines the useful with the enjoyable, and helps you not only acquire new knowledge, but also remember it easier and faster.

Today we present you a list of TOP 3 Software Testing movies suitable for every future and current QA engineer.

Webmaster

The movie is about a super talented webmaster hacker on an illegal cyber domain on the dark web.

The movie is exciting to watch as there are many transformations in it. At one point you are watching a webmaster with VR goggles. And the next moment it’s either a chase, a party, or someone trying to survive in cyberspace.

Webmaster is one of those films that explores the quality assurance of software that needs to be done early on. This is important to avoid hacker attacks and downtime.

The film shows programmers the importance of not underestimating the testing of all software to avoid hacking.

Who Am I? No System Is Safe

Critics rate this film as one of the best software testing films you can find. The film tells the story of a group of hackers who have one goal – to become famous around the world for their hacking skills.

“Who Am I” is a film that follows an interview with a hacker who talks about his life journey. The film briefly raises the issue of concept testing in popular films in a peculiar way, introducing viewers to the strong presence of hackers in the digital space.

Many of these hackers see this work as a profession in which they should thrive, and many also have ambitions to gain popularity by causing harm and damage to online businesses.

This is one of the best hacker-themed movies, with themes like Darknet, IRC Windows, and more at its center. The movie indirectly tells the world that every online software product needs proper testing for best protection.

Ex Machina

The film Ex Machina focuses on the wonders of artificial intelligence. It gives a fresher and different take on the exhausted science fiction formula of artificial intelligence turned evil. The film takes us into a world where tech experts are testing AI software in its ability to work like humans.

Ex Machina goes deeper than focusing between the fake and the real, and that makes it one of the best thought-provoking testing films. Ex Machina sends a strong message to the audience, which is to be careful what they “say to their computer.”

The report makes a compelling case for the adoption of memory-safe programming languages.

This new focus builds on the goal of restoring cybersecurity responsibility and restructuring incentives in favor of long-term cybersecurity investments. Memory-safe programming languages were also included as a goal of the Open Source Software Security Initiative (OS3I), which recently published a new report.

When using a memory-safe programming language such as Rust, Go, Java, Swift, and Python, developers cannot create code that causes a memory error because the language includes specific properties such as memory safety. When developers write code in languages that are not memory safe, such as C and C++, they may inadvertently write code that can cause memory access errors. Instead of the errors being caught at compile time and runtime, as with memory-safe languages, they end up in the final version and cause security problems, writes Jennifer Gregory, an author on cybersecurity topics.

Gregory adds that choosing a memory-safe language significantly reduces or completely eliminates memory-related vulnerabilities. In addition to improved security, memory-safe languages also reduce crashes and allow developers to increase productivity because they don’t need to focus on memory management issues.

The report focuses on getting organizations to focus on two specific areas related to memory-safe languages. In addition, the government wants to focus on creating partnerships with the technical community, especially engineers and developers, to collaborate on making this key change happen.

Although the use of memory-safe languages is recommended, the transition to them is challenging. Many software programs and libraries are based on inappropriate memory protection languages, and rewriting the entire database is often impossible. Starting a new project with a safe programming language represents the easiest way to transition.

Organizations can reduce attacks by rewriting only the critical functions and libraries that are most vulnerable to memory-related errors. Suitable languages such as Rust and Swift are interoperable with C and C++, making this transition easier. However, making the transition requires adequate developer resources. Organizations should start by assessing their existing memory safety language experts and provide training for both current and new developers in this area.

“The state-of-the-art open-access model improves on prior generative AI performance to increase developer productivity and provides developers equal access to the benefits of code generation AI, which in turn enables organizations of any size to more easily meet their full business potential”, said Harm de Vries, lead of ServiceNow’s StarCoder2 development team, and co-lead of BigCode.

StarCoder2 is trained on over 600 programming languages from The Stack v2 and some natural language code such as issues from Wikipedia, Arxiv and GitHub. The models use grouped query attention, a context window of 16,384 lexemes, with sliding window attention of 4,096 lexemes. Models 3B and 7B are trained on over 3 trillion lexemes, and model 15B on over 4 trillion lexemes.

According to the creators, the goal of StarCoder2 is to provide developers with features such as code generation, workflow generation, and text summarization, among others.

The project to develop StarCoder2 was led by ServiceNow and Hugging Face. StarCoder 2 is available in three distinct sizes: ServiceNow crafted a 3 billion-parameter model, Hugging Face developed a 7 billion-parameter model, and NVIDIA engineered a 15 billion-parameter model.

The smaller models are designed to offer powerful performance while using small amounts of compute power. According to the companies, the 3 billion-parameter model matches the performance of the 15 billion-parameter model of the original StarCoder release.

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Achieving a high income as a software developer often requires innovative strategies. Setting a monthly target of $100,000 is ambitious, but attainable through reverse engineering your goals. This approach involves breaking down your ultimate goal into manageable steps, leveraging your skills, and identifying market demands.

Step 1: Assessing Your Current Position

Suppose you’re a front-end developer earning $75/hour, working 40 hours a week. This brings in about $12,000 per month. To hit the $100K mark, however, you’d need to earn roughly $625/hour, which translates to $25K/week.

Step 2: Shifting Your Strategy

Attaining a rate of $625/hour through traditional employment is highly challenging. Thus, shifting from an hourly wage mindset to one focused on the value you provide is critical.

Step 3: Diversifying Your Income Sources

3a: Value-Based Earning in an Existing Company
Leveraging your skills as a full-stack developer in a high-revenue company and negotiating a share of the profits for the value you bring can significantly increase your income.

3b: Founding a Tech Company
Starting your own tech company allows you to tap into the entrepreneurial side of software development. This path involves creating a scalable product or service that meets a market need, offering potentially limitless income growth.

3c: Writing a Technical Book
Another alternative is authoring a technical book. This option capitalizes on your expertise and experience in the field. By writing a book, you can share your knowledge on a particular aspect of software development, a new technology, or best practices in the industry. The revenue from book sales, especially if it becomes a go-to resource in the tech community, can be significant. Additionally, a successful book can lead to speaking engagements, workshops, and consulting opportunities, further boosting your income.

Step 4: Marketing Yourself and Your Expertise

No matter the path chosen, effectively marketing yourself is crucial. This could involve building a strong personal brand, networking, enhancing your skills in high-demand areas, or developing a robust marketing strategy for your book or business.

Conclusion: Paving Your Way to Financial Success

By reverse engineering your income goal and focusing on various strategies like value-based earning, founding a tech company, or writing a technical book, you can create multiple income streams. These efforts, combined with continuous skill development and effective self-marketing, can lead you to achieve your goal of earning $100K per month as a software developer.

GOAL COMPLETED!

*Reverse Engineering: Reverse Engineering refers to the process of analyzing a system, device, or object to understand its components and workings, with the goal of duplicating or enhancing the object based on this understanding. This process involves disassembling something (a mechanical device, electronic component, computer program, or biological, chemical, or organic matter) and analyzing its components and workings in detail.

With the new integration, ML models are immutable, traceable and secure. In addition, JFrog has enhanced its ML model management solution with new versioning capabilities, ensuring that compliance and security are an integral part of the ML model development process.

“As more companies begin managing big data in the cloud, DevOps team leaders are asking how they can scale data science and ML capabilities to accelerate software delivery without introducing risk and complexity. The combination of Artifactory and Amazon SageMaker creates a single source of truth that indoctrinates DevSecOps best practices to ML model development in the cloud – delivering flexibility, speed, security, and peace of mind – breaking into a new frontier of MLSecOps”, said Kelly Hartman, SVP of global channels and alliances at JFrog.

A curious fact
According to a Forrester survey, half of data decision makers believe that implementing governance policies within AI/ML is a major challenge to its widespread use, and 45% consider data and model security a key concern.

JFrog has effectively tackled concerns related to ML model management through its integration with Amazon SageMaker, implementing DevSecOps best practices. This integration enables developers and data scientists to expedite ML project development while upholding enterprise-level security and compliance with regulatory and organizational standards, as outlined by JFrog.

Additionally, JFrog has incorporated new versioning features into its ML Model Management solution, complementing the integration with Amazon SageMaker. These capabilities seamlessly integrate model development into an organization’s existing DevSecOps workflow, contributing to enhanced transparency regarding each version of the model. According to JFrog, this improvement significantly improves the visibility and understanding of the model versions throughout the development process.

Humanoid robot company 1X Technologies, based in Mountain View, California, has raised $100 million in Series B funding with participation from Swedish venture capital firm EQT Ventures.

The company was able to raise more than $125 million in less than a year after raising $23.5 million in Series A2 funding from OpenAI and Tiger Global in early 2023.

This funding will support the production of safe and advanced androids at commercial scale. 1X Technologies’ biggest goal to date is to meet global employee needs.

The funds will also support 1X’s corporate customers in logistics and security.

NEO – the new home assistant

Meet NEO

The humanoid robot company has intentions to use the new capital, for its second generation Android NEO. Designed as a bipedal humanoid, NEO has a mission to help with everyday domestic activities.

The company asserts that what distinguishes NEO from other humanoid robots is its gentle and inherently secure design. In contrast to industrial machines, NEO is devoid of pinch-points or potential hazards, aligning with our dedication to providing a secure and user-friendly Android for consumers.

This focus on safety is crucial in bringing our vision to fruition, aiming to introduce a dependable and practical android into everyday life.

NEO’s soft construction resembling human features makes it safer and more comfortable than other robots. With a head, arms and legs similar to our own, NEO interacts with the world in a familiar way, performing activities such as walking, grasping objects and expressing emotions through facial cues.

Although NEO finds application in various sectors such as security, logistics, manufacturing, machine control and complex task management, its overall vision extends to becoming a valuable home assistant.

Envisioned for a long-term role in performing activities such as cleaning and organizing, NEO aims to integrate seamlessly into home life, increasing convenience and support for users.

While the company’s EVE android is currently working in logistics and guarding serving the enterprise market, NEO will be introduced into domestic environments, entering the household market first. It is on a fast track to market release and will be launched and available for consumers to pre-order within a short time.

7 recommendations from Dale Carnegie for high-performing TECH teams

Establish a Clear Purpose and Vision
To ensure team members comprehend how their skills and tasks contribute to the broader objectives, teams must define a clear purpose and vision. Dale Carnegie suggests breaking down overarching goals into smaller milestones, facilitating progress tracking, discussions, and performance enhancements.

 

Bridge Perception Gaps in Productivity, Satisfaction, and Culture
Highlighting a Microsoft report, the study reveals a significant perception gap—87% of employees feel productive, whereas only 12% of CEOs share this belief. To address this disparity, the recommendation is to enhance leaders’ understanding of individual employee experiences. Closing this gap is crucial, as leaders may overlook improvement opportunities and neglect genuine team needs.

Comprehend Factors Contributing to Team Satisfaction
The report underscores the correlation between satisfaction and high performance. Eighty-nine percent of high-performing teams express being “very or extremely satisfied,” compared to 65% among non-high performers. Key drivers of team satisfaction include collaboration, group participation, and trust. Notably, growth opportunities, cooperation, and the ability to share ideas stand out as differentiators between higher and lower-performing teams.

Promote Effective Team Communication
Effectively communicating a clear purpose and vision across the organization is essential for fostering teamwork. The report emphasizes that a collective understanding through effective communication helps teams align with the purpose and vision, offering additional motivation during high-stress situations or heavy workloads, ultimately bolstering resilience.

Embrace Adaptability
Adaptability enables teams to navigate ongoing workplace changes successfully. The report highlights that 74% of teams surpassing their goals attribute their success to good access to training and development materials. The organizational culture should integrate a commitment to continuous development, emphasizing empowerment. Team members should feel equipped with the necessary skills and empowered to contribute productively to their work and collaborate with colleagues.

Foster Collaboration and Cross-Functionality
Dale Carnegie posits that successful teams thrive on coworkers who share a positive attitude and understand each other’s roles. The research indicates that as team interaction frequency decreases, so does the likelihood of being a high-performing team. In the evolving landscape of flexible work models like fractional work, role sharing, and matrixed teams, the importance of collaboration and cross-functionality becomes even more pronounced.

Culture Remains Irreplaceable by Technology
With the integration of tools such as generative AI, natural language processing, and VR/AR into the workplace, teams should bear in mind that “technology plays a supportive role in shaping and empowering high-performing teams, rather than a primary one.”

Dale Carnegie suggests that while exploring the implications of these new technologies within a team, there should also be a parallel consideration of opportunities to enhance the team’s culture.

This will give Python developers the ability to work on their applications through the ngrok network without a lot of setup.

The SDK aims to create a persistent connection to the ngrok ingress-as-a-service platform, and ngrok will pass the application configuration information to the nearest point of presence.

“Instead of focusing on core business logic, developers often invest substantial time and effort in adding non-functional capabilities such as authentication, authorization, observability, and high availability that are outside their area of expertise,” Bob Hagemann, principal engineer at ngrok, wrote in a blog post.

According to ngrok, the inspiration to create ngrok-python was to enable developers to ignore the complexities of the network stack.

“At FusionAuth, we continuously innovate to make customer identity and access management (CIAM) easier for developers. Many of our customers are supporting apps with millions of users, and they need to query user and entity data or sync such information quickly and effortlessly across systems. These updates make their lives easier”, said Dan Moore, head of developer relations at FusionAuth.

According to the company, the complexity of modern authentication methods can be a challenge for developers, and while there are many authentication tools that can provide them with basic capabilities that can be used in their applications, these options are typically not of ideal performance and cannot scale for large customer bases.

Recent enhancements to the FusionAuth identity platform aim to address this issue and provide developers with a solution that is both easy to use and scalable.

The most recent enhancement focuses on enhancing performance, particularly for customer bases exceeding one million users.

Within the user and entity search APIs, a new value has been incorporated, enabling the retrieval of the complete available result set.

Furthermore, this update introduces the capability to sign webhook events, providing developers with a means to verify the integrity of webhook messages and protect against potential man-in-the-middle attacks.

As part of the comprehensive update, users can now conveniently oversee custom SSL certificates for webhooks within the same console used for managing their other certificates.

The technology that Uber is introducing across the US will identify riders or Uber Eats customers who consistently give bad ratings or reviews in order to get their money back. The company’s blog post says that the claims of these customers will not be taken into account when deciding to rate or disable driver accounts.

The company is also expanding its in-app review center to give drivers and couriers more information about the reasons for deactivating their account, allow them to request a review of the decision, and share additional information, such as audio or video footage.

Last year, Uber introduced a nationwide audio recording feature for drivers and riders. The company also began piloting video recording and said Monday it will expand the pilot to iOS drivers in a dozen U.S. cities, including Atlanta, Denver, Dallas, Minneapolis and select drivers in Los Angeles.

For an extended period, drivers in the app-based gig economy have been expressing their opposition to unjust deactivations, essentially tantamount to termination. Numerous drivers have participated in collective legal actions against the company. Their grievances include allegations that certain riders file malicious or biased complaints. Additionally, drivers contend that they face a lack of transparency in accessing the details of these complaints, hindering their ability to challenge them. Furthermore, Uber is criticized for providing minimal avenues for drivers to dispute these claims.

Verifying riders and other updates for drivers
Uber also said that in 2025, the company will expand verification of rider identities. Riders will be identified based on simple third-party checks — like if your name matches the credit card on file. If Uber can’t verify a rider’s identity that way, they’ll ask for an ID, but that won’t be the standard. Uber wouldn’t share further information on this, such as whether Uber will automatically verify riders or whether riders will have to opt in.

Uber is also integrating Android Auto with the Uber Driver app, allowing drivers who use Androids to now see heat maps, accept trips and use on-screen navigation from their car dashboard. The integration comes several months after Uber launched something similar with Apple CarPlay in February.

Finally, Uber added a tool in the app to help couriers find nearby parking. The company said it will also add map labels that specify exact drop-off doors or photos of the building to make it clearer to couriers where a customer requested food to be dropped off.