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Time Business News
5 days ago
- Business
- Time Business News
Top 7 Mistakes to Avoid When Hiring an IT Staff Augmentation
In 2025, choosing the right IT staff augmentation partner defines whether your startup grows or stalls. More founders now adopt this model to access global developers, launch faster, and scale smartly. The model works well, but the wrong partner leads to disaster. You risk delays, bloated costs, and code that fails under load. One bad engagement can stall your roadmap, ruin deadlines, or force a rewrite. A recent study indicates that 74% of employers struggle to find the skilled talent they need, underscoring the importance of choosing a reliable augmentation partner. Startups rush into agreements without understanding the benefits of IT staff augmentation, or they fail to compare options. In this guide, you'll learn: Why do IT staff augmentation services work best when aligned with your business goals? The 7 costly mistakes founders and CTOs make while choosing an augmentation partner What to look for in an ideal staff augmentation model for startups in 2025? How to avoid risk, delays, and poor ROI with smarter vendor evaluation? One of the biggest mistakes when choosing an IT staff augmentation partner is skipping the vetting process. Many providers promise 'vetted talent,' but fail to evaluate real-world coding skills, system architecture thinking, or experience with modern frameworks. Developers ace theoretical interviews but fail during hands-on implementation. Reasons are – Teams lack experience in tools you depend on, like Laravel, Kubernetes, or GitHub Actions. Poor performance in sprint delivery, unit testing, or code review processes. Lack of familiarity with product lifecycle, CI/CD pipelines, or post-deployment maintenance. When technical vetting is missing or shallow, the result is broken sprints, missed deadlines, and unstable product builds. A reliable IT staff augmentation company conducts multiple layers of evaluation: Live coding assessments that test for problem-solving and logic under pressure Architecture review tasks that simulate backend planning, scalability, and service orchestration Laravel-specific challenges for MVC structure, queue jobs, API design, and database logic DevOps case studies that check knowledge of CI/CD, containerization, monitoring, and rollback handling Soft skills and communication checks to ensure smooth integration with your product team This level of depth separates mediocre outsourcing from trusted IT staff augmentation services that deliver. Startups often assume that hiring skilled developers guarantees smooth collaboration. That's a major mistake. Even the best talent will fail your product if communication breaks down. Choosing an IT staff augmentation partner without considering timezone and communication alignment results in missed updates, poor coordination, and frustration for internal teams. Founders focus only on technical skills, ignoring soft skills and cultural fit. Developers respond to messages late or miss key meetings due to timezone gaps. Language barriers slow down feedback cycles, sprint reviews, or dev handoffs. Product managers waste hours trying to explain stories or resolve simple blockers. This leads to slow product cycles, failed QA loops, and delayed launches. A reliable IT staff augmentation company ensures smooth communication and timezone compatibility with: Daily or alternate-day syncs that keep progress transparent and blockers visible English fluency assessments during vetting to ensure seamless collaboration 4+ hours of timezone overlap with your product or engineering team Agile reporting via tools like Slack, Jira, Notion, or Trello Clear escalation paths for blockers or scope shifts For staff augmentation for startups, communication speed is just as important as coding speed. If you plan to hire remote developers for startups in the US or UK, timezone matching becomes a strategic decision, not just a convenience. Startups often prioritize speed and talent, but forget a critical layer security and intellectual property protection. Choosing an IT staff augmentation partner that lacks security standards can put your codebase, customer data, and product IP at serious risk. Developers work in unsecured environments with no VPN or endpoint protection No signed Non-Disclosure Agreements (NDAs) to protect product concepts or data Git access was shared without proper permission levels No clear boundaries around third-party code usage or version history logging Customer data left exposed in staging or QA environments A report by IBM found that the average cost of a data breach in 2024 was $4.45 million, the highest ever recorded. This proves that startups must go beyond code quality and prioritize IP control from day one! A trustworthy IT staff augmentation company will: Sign NDAs and IP assignment clauses before project kickoff Provide secure remote development infrastructure Use Git with access control, audit logs, and branch permissions Train developers on data privacy laws like GDPR and HIPAA Provide documentation on internal security practices This level of compliance is essential for staff augmentation for startups, especially in fintech, healthtech, and SaaS sectors. If you plan to augment your software development team, make IP protection a non-negotiable. Every startup watches its budget, but choosing an IT staff augmentation partner based only on price leads to failure. Startups that chase cost over quality end up with missed deadlines, buggy code, and zero accountability. A B2B SaaS startup hired a $12/hour developer to build a Laravel admin dashboard. Within four weeks: APIs failed under test loads Data wasn't sanitized, exposing user records Dev didn't follow MVC conventions No Git usage, no CI/CD, no documentation The founder had to scrap the entire codebase and rehire a vetted Laravel developer. The 'cheap hire' ended up costing 3x more and delaying investor demo day by a month. A smart IT staff augmentation company adds value beyond just writing code. Here's what to look for: Relevant experience in your industry or product stage Turnaround time from onboarding to first commit DevOps support for scalable infrastructure, CI/CD, and deployment Tech match for your stack: Laravel, React, Node, etc. Quality assurance and support coverage If you're using staff augmentation for startups, remember that you're not just paying for hours; you're paying for delivery, velocity, and risk reduction. Founders who hire remote developers for startups should weigh total ROI. Hiring an IT staff augmentation partner without relevant tech or industry experience slows down your build and risks product failure. A Laravel SaaS platform needs different skills than a React MVP or a Python-based AI tool. Yet many founders skip this evaluation and choose based on availability alone. This mismatch affects planning, speed, and even how scalable the foundation becomes. A Laravel developer unfamiliar with SaaS patterns may skip multi-tenant architecture or queue handling A React developer without MVP experience may overengineer a simple prototype AI-focused projects fail when engineers lack domain knowledge in ML frameworks or data ops A strong IT staff augmentation company will match developers by: Framework expertise: Laravel, React, Node, Python, etc. Use case familiarity: SaaS apps, eLearning platforms, fintech tools, etc. Deployment patterns: Single-tenant vs multi-tenant, API-first, headless CMS, and microservices Previous portfolio: Look for examples in your product domain For staff augmentation for startups, the match must go deeper than tech skills. It must align with product vision, tech stack, and industry compliance if applicable. Founders should always ask: 'Have you worked on a project similar to mine before?' Choosing to augment your software development team with the wrong expertise risks time, trust, and technical debt. Even top developers sometimes fail to deliver. But if your IT staff augmentation partner doesn't offer a replacement policy, you're stuck with poor performance or forced to start over. This delay hurts momentum, especially for MVP-stage startups or teams pushing product demos to investors. The developer underdelivers, but you've already paid for 4+ weeks Lack of a process to escalate performance issues No way to rotate developers without renegotiating the agreement You waste sprint cycles while waiting for a fix A quality IT staff augmentation company includes: Free replacement guarantees during the first 2–4 weeks Trial periods to test communication, delivery, and velocity No-penalty exit terms if performance doesn't match the promise Proactive replacements if developer feedback turns negative Mid-project flexibility to scale up or rotate skill sets For staff augmentation for startups, this flexibility keeps projects stable, even when something goes wrong. If you plan to hire remote developers for startups, make the trial clause your first question. Hiring an IT staff augmentation partner without understanding how they manage delivery leads to miscommunication, delays, and lack of control. Transparency equals trust. And for startups, visibility into daily progress is critical, it's not enough for developers to write code. You need clear project flow, sprint alignment, and real-time collaboration. You don't know what's being worked on, when it'll be ready, or who's blocked Features get delivered late or out of scope Git commits lack comments, issues go untracked, and documentation is missing You aren't looped into retrospectives or sprint demos The result? You burn time chasing updates instead of leading product strategy. A modern IT staff augmentation company will use tools that bring you inside the build process: Jira or Trello for task tracking and sprint planning Slack or Teams for async updates and daily standups Git with branch control and pull request reviews Notion or Confluence for documentation and SOPs Weekly sprint reviews and retrospectives to evaluate velocity and adjust plans For staff augmentation for startups, these systems mean faster issue resolution, better product quality, and complete delivery control. If you plan to augment your software development team, ask about tool stack, sprint cadence, and reporting habits! Selecting the right IT staff augmentation partner means going beyond availability. It requires a system to vet capabilities, processes, and reliability. Here's a proven checklist to help you: Ask for real examples: Laravel SaaS, React MVPs, or Bagisto-based eCommerce. Look for Laravel, Statamic, or Bagisto credentials to validate skill alignment. Ask how long it takes to get project-ready. Time-to-first-commit matters. Evaluate screening, shadow sprints, and onboarding documentation. Process matters more than promises. Look at their workflow before trusting delivery timelines. As a vetted IT staff augmentation company, Acquaint offers: Laravel-certified developers with project-ready experience Real case studies in SaaS, fintech, and marketplace apps 48-hour onboarding with milestone-based reporting Slack, Git, Notion, and Jira integration from day one Optional 1-week trial with zero lock-in This is what strategic staff augmentation for startups looks like. Hiring fast helps you launch, but hiring right helps you scale without setbacks. Choosing the right IT staff augmentation partner ensures fewer delays, cleaner code, secure IP, and developers who understand your tech stack and vision. In 2025, strategy wins over speed. When you augment your software development team with a vetted partner like Acquaint Softtech, you get scalable systems, sprint-ready developers, and delivery that matches ambition! TIME BUSINESS NEWS
Techday NZ
22-05-2025
- Business
- Techday NZ
BeyondTrust recognised as leader in secrets management
BeyondTrust has been identified as an Overall Leader in the 2025 KuppingerCole Leadership Compass for Enterprise Secrets Management. The independent analyst firm KuppingerCole evaluated a total of 16 vendors in the field of secrets management, highlighting BeyondTrust's capabilities, scalability, and focus on securing both human and non-human identities at enterprise scale. The KuppingerCole report points to the increasing complexity organisations face as they adopt cloud services and pursue digital transformation initiatives. It notes the necessity for robust solutions to manage and secure cloud entitlements, emphasising that security in this evolving environment is paramount. BeyondTrust's approach to secrets management extends beyond conventional vaulting solutions. The company's Password Safe solution is designed to deliver policy-based control and visibility over credentials such as application credentials, API keys, certificates, and other machine secrets. The company has built native integrations with a range of popular platforms, including GitHub Actions, Kubernetes, Terraform, and Ansible. Such integrations are intended to streamline secret injection and lifecycle management, enabling developer-friendly workflows while maintaining security standards. "BeyondTrust's solutions are particularly suited for enterprises demanding rigorous control over privileged and non-privileged accounts across complex environments. Given its strategic enhancements and comprehensive roadmap, BeyondTrust remains a strong choice for enterprises seeking advanced identity management solutions," Martin Kuppinger, Founder and Principal Analyst at KuppingerCole, commented on BeyondTrust's positioning in the report. The report also acknowledges a shift in the sector as enterprises adopt AI-driven automation and manage more distributed workloads. This has led to a rise in so-called Agentic AI entities—software agents that operate with increasing autonomy, including initiating decisions, running processes, and interacting with data independently. According to the report, BeyondTrust is responding to these trends by developing capabilities that enforce identity lifecycle controls, ensure the principle of least privilege, and monitor for atypical behaviours across all identity types, whether human or non-human. "Secrets management has to evolve with the reality of the modern threat landscape. That means securing not just traditional users and service accounts, but also non-human and autonomous AI identities. Our solutions are built to give security teams centralised visibility and control across every identity and environment, while empowering developers and operations teams to build and scale securely," Sam Elliott, Senior Vice President of Product Management at BeyondTrust, said, outlining the company's approach to current industry challenges. BeyondTrust's secrets management offerings are part of the BeyondTrust Pathfinder Platform. The platform's scope includes Privileged Access Management, Identity Threat Detection and Response, Cloud Identity Management, Cloud Infrastructure Entitlement Management, and a recently released Identity Security Risk Assessment. This free assessment is designed to help organisations uncover hidden Risks to Privilege within their identity infrastructure, making vulnerabilities visible and offering practical recommendations for remediation. The KuppingerCole Leadership Compass for Enterprise Secrets Management evaluates vendors' approaches to managing and protecting secrets, considering factors such as scalability, integrations, developer experience, and strategic vision in the context of current and emerging identity security challenges.
Arabian Post
21-05-2025
- Business
- Arabian Post
GitHub Empowers Developers with Autonomous AI Coding Assistant
GitHub has unveiled a significant upgrade to its Copilot platform: an AI-powered coding agent capable of autonomously writing code, fixing bugs, and managing pull requests. This development, announced during Microsoft's Build 2025 conference in Seattle, marks a pivotal shift in software development, positioning AI as an active participant in coding tasks. The new Copilot coding agent operates by initiating a secure, customizable development environment through GitHub Actions. Upon assignment of a task or issue, the agent clones the repository, analyses the codebase, and begins implementing solutions. Throughout the process, it documents its actions and submits changes via draft pull requests, allowing developers to review and provide feedback. This approach ensures that while the AI handles routine tasks, human oversight remains integral to the development process. Designed to handle low- to medium-complexity tasks, the agent excels in well-tested codebases, performing functions such as feature additions, bug fixes, test extensions, code refactoring, and documentation improvements. Developers can assign multiple issues simultaneously, enabling the agent to work on various tasks in parallel, thereby enhancing productivity. ADVERTISEMENT Integration with GitHub's native control layer ensures that the agent adheres to existing security protocols. Features like branch protections and controlled internet access are built-in, and any code changes proposed by the agent require human approval before integration into the main codebase. This design maintains the integrity of the development workflow while leveraging AI capabilities. The agent is accessible to users of Copilot Enterprise and Copilot Pro+ plans and can be activated through GitHub's web interface, mobile app, or command-line interface. Additionally, it supports integration with popular integrated development environments such as Visual Studio Code, Xcode, Eclipse, JetBrains, and Visual Studio, providing flexibility across different development setups. Microsoft's commitment to an open AI ecosystem is evident in its support for multiple AI models within GitHub Copilot. The platform now incorporates models from OpenAI, Anthropic, and Google, allowing developers to choose the AI that best fits their needs. This multi-model approach reflects Microsoft's strategy to provide diverse AI tools rather than relying on a single provider. The introduction of the Copilot coding agent signifies a broader trend in the software industry towards integrating AI into development processes. By automating routine tasks, developers can focus on more complex and creative aspects of software engineering. However, the necessity for human oversight underscores the current limitations of AI and the importance of collaborative human-AI workflows.
Economic Times
20-05-2025
- Business
- Economic Times
GitHub launches new AI coding agent that fixes bugs
Copilot helps developers write code—it suggests lines of code or even whole functions while typing. In its latest upgrade, the AI agent will be more active, like a mini-assistant, for the developer. Instead of passively suggesting code, the agent will understand and act on goals. Tired of too many ads? Remove Ads Tired of too many ads? Remove Ads Developer platform GitHub has unveiled an artificial intelligence (AI) coding agent embedded directly into its AI tool, GitHub Copilot . Users can assign the agent tasks and it can fix bugs and add features on a developer's helps developers write code—it suggests lines of code or even whole functions while typing. In its latest upgrade, the agent will be more active, like a mini-assistant, for the developer. Instead of passively suggesting code, the agent will understand and act on agent will be built into Copilot itself, meaning developers don't have to install anything extra, and it will be a part of their workflow."Using state-of-the-art models, the agent excels at low-to-medium complexity tasks in well-tested codebases – adding features, fixing bugs, extending tests, refactoring code, improving documentation. It's all about keeping you in the magical flow state," CEO Thomas Dohmke said in a post on can tell the agent to fix the code, implement a search feature, or carry out autonomous actions like fix bugs by identifying broken logic, or understand context across makes GitHub Copilot more than just a coding assistant, and more like a coding collaborator. "Built around an integrated, secure and fully customizable development environment powered by GitHub Actions , the Copilot coding agent is amplifying human developers with trust by design," Dohmke comes days after Google DeepMind unveiled AlphaEvolve, an AI coding agent backed by its Gemini models. However, AlphaEvolve is designed for performance on algorithmic challenges, and is more research-grade and specialised. GitHub's agent, on the other hand, is designed to work alongside developers in real-world projects.
Time of India
20-05-2025
- Business
- Time of India
GitHub launches new AI coding agent that fixes bugs
Developer platform GitHub has unveiled an artificial intelligence (AI) coding agent embedded directly into its AI tool, GitHub Copilot . Users can assign the agent tasks and it can fix bugs and add features on a developer's behalf. Copilot helps developers write code—it suggests lines of code or even whole functions while typing. In its latest upgrade, the agent will be more active, like a mini-assistant, for the developer. Instead of passively suggesting code, the agent will understand and act on goals. This agent will be built into Copilot itself, meaning developers don't have to install anything extra, and it will be a part of their workflow. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like People in Tahunan Are Finding Amazing Rental Deals Apartments for rent | Search Ads Learn More Undo "Using state-of-the-art models, the agent excels at low-to-medium complexity tasks in well-tested codebases – adding features, fixing bugs, extending tests, refactoring code, improving documentation. It's all about keeping you in the magical flow state," CEO Thomas Dohmke said in a post on X. Developers can tell the agent to fix the code, implement a search feature, or carry out autonomous actions like fix bugs by identifying broken logic, or understand context across files. Live Events This makes GitHub Copilot more than just a coding assistant, and more like a coding collaborator. "Built around an integrated, secure and fully customizable development environment powered by GitHub Actions , the Copilot coding agent is amplifying human developers with trust by design," Dohmke added. Discover the stories of your interest Blockchain 5 Stories Cyber-safety 7 Stories Fintech 9 Stories E-comm 9 Stories ML 8 Stories Edtech 6 Stories This comes days after Google DeepMind unveiled AlphaEvolve, an AI coding agent backed by its Gemini models. However, AlphaEvolve is designed for performance on algorithmic challenges, and is more research-grade and specialised. GitHub's agent, on the other hand, is designed to work alongside developers in real-world projects.
