Latest news with #GitHubCopilot
USA Today
2 days ago
- Business
- USA Today
Backend Engineer Interview Preparation Course With AI 2025 - Interview Kickstart Trains AI-enabled Backend Developers For FAANG Jobs
Santa Clara, California – In 2025, backend engineering stands at a pivotal crossroads. The integration of AI tools like GitHub Copilot has streamlined coding tasks, enabling smaller teams to achieve more with less. However, this efficiency has also led to a contraction in entry-level positions, making the job market more competitive for junior engineers. Despite these challenges, the demand for seasoned backend engineers remains high, especially in FAANG+ companies like Netflix, Google, and Meta, which continue to prioritize high-performance and innovation in their engineering teams. For more information, visit: In this competitive job market, Interview Kickstart offers a comprehensive Back-End Engineering Interview Masterclass designed to equip professionals with the skills and knowledge required to excel in top-tier tech companies. The course is tailored for current or former backend engineers aiming to secure positions in leading tech firms, as well as engineers from related domains like full-stack, data, or test engineering who wish to specialize in backend development. Interview Kickstart's Backend Engineering course spans several weeks, focusing on critical areas such as data structures, algorithms, and system design. Participants engage in live classes led by instructors from FAANG+ companies, gaining insights into real-world problem-solving and interview scenarios. The curriculum also includes a Back-End Engineering Masterclass, where learners delve into advanced concepts and practical applications relevant to backend development. FAANG companies' approach to backend engineering hiring is notably rigorous. The company employs a centralized hiring model, seeking candidates who not only possess technical prowess but also align with their high-performance culture. This model emphasizes a unified hiring process across multiple teams, ensuring that new hires meet the company's stringent standards for skill and cultural fit. A key component of the course is the emphasis on mock interviews. Participants undergo up to 15 mock interviews with hiring managers from top-tier companies, receiving detailed, personalized feedback to identify strengths and areas for improvement. This rigorous preparation ensures that candidates are well-equipped to handle the challenges of actual interviews, particularly in demanding environments like Netflix. Beyond technical training, IK provides career coaching to help professionals navigate the job market effectively. This includes resume building, LinkedIn profile optimization, personal branding, and live behavioral workshops. The program's structured approach ensures that learners not only enhance their technical skills but also present themselves compellingly to potential employers. The course structure is designed to accommodate working professionals, requiring a commitment of 10 to 12 hours per week. Each week includes foundational content delivery, assignment reviews, live sessions, and practice problems. Participants also have daily access to instructors for personalized coaching and doubt-solving, ensuring continuous support throughout the program. In an era where backend engineering roles are becoming increasingly specialized and competitive, especially in FAANG+ companies, Interview Kickstart's Back-End Engineering Interview Masterclass offers a strategic pathway for professionals to elevate their careers. By combining rigorous technical training with personalized mentorship and career support, the program prepares candidates to meet and exceed the expectations of top-tier tech employers. To learn more visit About Interview Kickstart Founded in 2014, Interview Kickstart is a premier upskilling platform empowering aspiring tech professionals to secure roles at FAANG and top tech companies. With a proven track record and over 20,000 successful learners, the platform stands out with its team of 700+ FAANG instructors—hiring managers and tech leads—who deliver a comprehensive curriculum, practical insights, and targeted interview prep strategies. Offering live classes, 100,000+ hours of pre-recorded video lessons, and 1:1 sessions, Interview Kickstart ensures flexible, in-depth learning along with personalized guidance for resume building and LinkedIn profile optimization. The holistic support, spanning 6 to 10 months with mock interviews, ongoing mentorship, and industry-aligned projects, equips learners to excel in technical interviews and on the job.
India Today
2 days ago
- Business
- India Today
GitHub CEO says AI will allow software engineers to reach magic flow state while coding
GitHub CEO Thomas Dohmke says that artificial intelligence will transform how software engineers work – but will not necessarily replace them. He believes that AI will help techies reach a deeper state of creative focus. In a recent interview on YouTube with Azeem Azhar, Dohmke shared that AI-powered tools like GitHub Copilot allow developers to stay in the "magic flow state," where they can focus entirely on solving problems rather than getting bogged down by repetitive explains that in the software engineering world, flow state refers to a mental zone where techies focus on their work free from distractions. 'Flow state, you know, instead of you switching back and forth between research mode and trying to make things,' he shared. And AI, he believes, will help engineers stay in this productive mindset by automating routine also compared software development to a mix of art and production. He shared that historically, engineers spent significant time on the "production" side—writing boilerplate code, debugging, and managing dependencies. AI is now helping to shift this balance by taking over mundane tasks, freeing developers to focus on higher-level problem-solving. "Automation is great because I actually want to spend more time in the creative part—designing what I'm shipping to customers," he explained. According to Dohmke, rather than replacing engineers, AI acts as a collaborator, accelerating development while allowing humans to handle the strategic sees AI as the latest evolution in programming. He highlighted that in the early years, developers used to work in low-level languages like assembly, but over time, higher-level languages (Python, JavaScript) and open-source libraries made coding more efficient. Now, the arrival of AI is taking this further and allowing engineers to describe their intent in natural language, with the system generating functional code."We're already composing different pieces into software, and AI helps us move up the abstraction ladder," he said. However, Dohmke acknowledges that although AI is helpful, human oversight remains crucial—engineers must still review AI-generated code for security, efficiency, and on concerns that AI could replace developers, Dohmke believes that AI will not replace them but rather evolve the role engineers play. He believes that in the coming years, AI will help engineers spend less time on manual coding and more on designing systems, refining AI outputs, and solving complex challenges."Developers define themselves by solving problems and implementing ideas," he said. "AI just changes how they do it."
Hans India
2 days ago
- Business
- Hans India
Building India's AI-Ready Workforce: The Launch of Mirai School of Technology
New Delhi: In a bold response to India's growing AI talent gap, which is projected to exceed 1 million skilled professionals by 2027, Mirai School of Technology makes its debut today as India's new age AI-first higher education company. and BCA degrees offered by AICTE and UGC-approved colleges are powered by Mirai School of Technology to deliver AI-first technical education—reimagining engineering for an era where artificial intelligence is no longer optional, but essential. Mirai redefines conventional education by empowering students to become tomorrow's tech leaders. While traditional programs remain rooted in outdated methods and theory-heavy learning, Mirai is driven by a bold belief: education should be centered around the tools and technologies that will shape the workplace of 2030. Founded by Arpit Sarda (BITS Pilani, IIM Kozhikode), and strengthened by the strategic collaboration with Varun Kohli (CEO & Co-Founder at Coding Blocks) and Kartik Mathur (NSIT, Co-Founder at Coding Blocks) — the two minds behind one of India's most impactful tech education platforms that has mentored over 250,000+ students. Together, they aim to build a future-focused learning ecosystem that equips students with hands-on AI skills and real-world career outcomes. 'Mirai isn't just a new institution—it's a movement to bridge the gap between today's education and tomorrow's tech careers,' says Arpit Sarda, Founder of Mirai. 'We're building an ecosystem where students learn to lead with AI, not just adapt to it.' "What makes Mirai revolutionary isn't just what we teach, but how we teach it," explained Kartik Mathur, Founding Member and Academic Head at Mirai. "Our students don't just learn about AI—they build with it from day one, using the same tools powering innovations at companies like Google and OpenAI." As AI continues to redefine global industries and talent demands, India faces a pressing need to produce skilled professionals who can drive innovation. Mirai enters the scene at this critical moment with a bold, disruptive model rooted in four core pillars: AI-First Education: Programs built around 15+ top AI tools, 6+ global certifications, and programs are designed around real-world AI applications—from generative AI to LLMs and APIs—preparing students for the technologies of tomorrow, today. Code with AI from Day 1: From the very first week, students build, debug, and create with AI as a co-pilot. Tools like GitHub Copilot, ChatGPT Plus, and other AI development platforms are integrated into daily coursework—helping students write smarter code, learn faster, and think like real-world engineers. Infra Designed for Coders: State-of-the-art facilities including Apple labs, robotics labs, and smart classrooms—plus personal MacBooks and subscriptions to premium AI tools like GitHub Copilot and ChatGPT Plus. Selection of Top 20%: Admission is merit-based, with only the top 20% selected—fostering a competitive, high-potential peer group that drives excellence. It's not just about getting in—it's about becoming part of a community where ambition is the common language Tech Practitioners as Teachers: Courses are led by engineers, founders, and industry experts, ensuring every lesson is rooted in practical experience and evolving industry needs. This ensures that students don't just study technology—they absorb its context, challenges, and evolving nature. It's learning that's alive, applied, and aligned with what companies truly value. 'From industry-certified learning paths to global AI competitions and startup incubation, Mirai offers unmatched depth and exposure,' says Varun Kohli, Founding Member and Learning Head at Mirai. 'This is tech education, reimagined for the AI age.' With India's AI market expected to reach $17 billion by 2027 and showing rapid growth potential, coupled with a significant shortage of AI-skilled professionals, Mirai emerges at a critical juncture. Through AI-first and BCA programs offered by partner colleges, Mirai provides students with a clear pathway into high-growth AI careers across healthcare, finance, automotive, and other emerging sectors. Arpit Sarda _ Founder _ Mirai School of technology
Hans India
3 days ago
- Business
- Hans India
Is AI transforming software engineering or a job killer?
Artificial Intelligence is no longer just a productivity booster—it's becoming a job reducer, especially in software engineering. With companies like Salesforce, Microsoft, Meta, and Google increasingly relying on AI to write and review code, the traditional role of the software developer is being redefined—and in some cases, replaced. AI Is Helping Big Tech Hire Less Salesforce recently confirmed that it's hiring fewer engineers due to AI-driven productivity gains. 'We view these as assistants, but they are going to allow us to hire fewer people,' said Robin Washington, the company's Chief Financial and Operations Officer, in an interview with Bloomberg. It's a sentiment being echoed across Silicon Valley. The shift is particularly hitting entry-level tech jobs. With AI tools capable of handling routine coding tasks, fresh graduates are finding it increasingly difficult to get their foot in the door. What started as a promise to 'augment' engineers is now clearly moving toward replacement in certain roles. Entry-Level Jobs Are Disappearing For aspiring software engineers—especially in tech talent hubs like India—the future looks uncertain. Many students are pursuing advanced degrees abroad, but with top firms reducing hiring thanks to AI, those efforts may not guarantee a return on investment. LinkedIn's Aneesh Raman summed up the shift in a New York Times op-ed: 'Now it is our office workers who are staring down the same kind of technological and economic disruption. Breaking first is the bottom rung of the career ladder.' AI Now Writes a Big Chunk of Code At Microsoft, CEO Satya Nadella says AI writes 20–30% of the company's code. Meta's Mark Zuckerberg expects AI to take over at least 50% of software development within the next year, noting that 'AI engineers' will do the heavy lifting over 'people engineers.' Google isn't far behind. CEO Sundar Pichai recently said that over 30% of new code is being written by AI—up from 25% last October. Acceptance of AI-generated code among Google employees is also on the rise. At Anthropic, CEO Dario Amodei believes we could be just months away from AI writing 90% of all new code. Duolingo has already started replacing human contract workers with AI. The Role of Software Engineers Is Evolving The rise of AI models like ChatGPT, GitHub Copilot, and OpenAI's Codex is not only automating code generation—it's changing how engineers work. These tools are no longer limited to minor tasks. They're writing complex code, reviewing pull requests, and accelerating development cycles at a pace that was unimaginable just two years ago. What This Means for Developers While senior engineers and specialized developers may still be in demand, the entry-level pipeline is tightening. The new norm in tech may no longer be about scaling teams—but scaling AI-powered productivity. Engineers of tomorrow will need to upskill fast, focusing on creativity, systems thinking, and working with AI—not competing against it.
Techday NZ
3 days ago
- Business
- Techday NZ
New Relic & GitHub Copilot integration boosts DevOps speed
New Relic has announced an integration between its AI-powered observability platform and the GitHub Copilot coding agent to streamline software development workflows and improve application reliability. This integration aims to automate the traditional processes of change validation and incident response, enabling enterprises to accelerate software deployment cycles while maintaining system stability. The unified approach brings together proactive monitoring by New Relic and automated code remediation through GitHub Copilot's agentic capabilities. Describing the significance of the new technology, New Relic Chief Product Officer Manav Khurana said: "Agentic AI is poised to be a transformative technology for enterprise software developers and engineers, who are facing intense pressure to ship more innovations at a faster pace without sacrificing quality and reliability." He added: "With the innovative integration of New Relic's intelligent observability technology with GitHub Copilot coding agent, we are closing the loop on ensuring continued application health. Together with our long time partner GitHub, we are providing a new, agentic way for modern software development that uses the power of agentic AI to transform the way enterprises innovate." The combined solution leverages New Relic's continuous code deployment monitoring to automatically detect performance issues arising from recent changes. If an issue is identified, New Relic pinpoints the root cause and generates a comprehensive GitHub issue, complete with context for developers. Developers can then review this automated issue and, if deemed sufficient, delegate it to GitHub Copilot. Copilot analyses the issue, drafts a suggested code fix, and initiates a pull request for human review. After the fix is merged, New Relic validates the correction, completing the issue resolution cycle. This process aims to reduce the time required to resolve coding issues, allowing developers to dedicate more attention to impactful projects rather than repetitive troubleshooting tasks. Key benefits outlined by New Relic include automation of detection and validation processes, empowerment of engineers to focus on strategic work, quicker resolution of performance issues, and safer, faster deployment cycles. Julia Liuson, President, Developer Division at Microsoft, commented on the importance of collaborative integrations: "Millions of organisations rely on GitHub every day for software delivery. Our integrations with key partners like New Relic are instrumental in making our tools that much more scalable, reliable and intelligent. Together with key partners like New Relic we provide developers valuable insights and automation to enhance Agentic DevOps, driving innovation and efficiency across the software lifecycle." The GitHub Copilot coding agent integration builds upon the existing partnership between New Relic and both Microsoft and GitHub. According to New Relic, this expansion brings its agentic AI capabilities and critical observability data deeper into the developer workflow, delivering faster feedback and reducing the risk of code-related issues affecting business operations. The integration is currently available via New Relic as a limited preview, accessible to Copilot Pro+ and Copilot Enterprise account holders. GitHub Copilot coding agent is also available in preview for GitHub Copilot Enterprise and Pro+ customers.
