How AI is transforming software development

AI is shaking up software development! Developers now guide AI, focusing on creativity while automation handles routine coding. This supercharges productivity but brings new risks—like technical debt and a growing skill gap. To thrive, balance the speed of AI with quality checks and strong human insight. The future of software is human-AI collaboration! #ArtificialIntelligence #SoftwareDevelopment #TechTrends #Innovation #DigitalTransformation #AIinTech

🚀 AI Agents are reshaping the software development landscape! From automating repetitive coding tasks to assisting with testing, debugging, and deployment — AI-driven tools are enabling developers to focus more on innovation and problem-solving. They’re not replacing developers, but empowering them to build smarter, faster, and more reliable solutions. The future of software isn’t just human-coded — it’s AI-assisted. 💡 #AI #SoftwareDevelopment #Innovation #MachineLearning #TechTrends #Developers

Ever wondered how AI is truly changing the game in custom software development? Our new article breaks it down. We explore how AI is streamlining requirements gathering, accelerating code generation, and making software testing more robust than ever before. This isn't just about speed; it's about building smarter, more resilient applications that genuinely serve your business needs. If you're passionate about tech or planning your next software project, you'll find valuable insights here. 👉https://lnkd.in/gHXk84TR #CustomSoftwareDevelopment #CustomSoftware #SoftwareDevelopment #AI #ArtificialIntelligence #DigitalTransformation #BusinessStrategy #SoftwareSolutions #TechLeadership #TechTrends #CustomSolutions

The modern development landscape is evolving faster than ever. Where teams once spent weeks building core features from scratch, today they can assemble complex systems in a fraction of the time. The reason? A powerful combination of AI-assisted coding and third-party APIs. This shift isn’t just about speed. It’s about building smarter, more scalable systems that grow as fast as the businesses behind them. AI has transformed how developers write, debug, and optimize code. From suggesting functions to generating full code blocks, AI tools now act as a collaborative layer between developer intent and execution. The result is not just faster development, it’s accelerated innovation. Meanwhile, robust APIs have turned development into a modular ecosystem. Instead of reinventing the wheel, teams can integrate trusted APIs for payments, analytics, or AI, instantly expanding functionality and reliability. Together, AI and APIs redefine time to market. They empower teams to test ideas faster, iterate more often, and scale without unnecessary complexity. At Devblock Technologies, Inc., we combine AI-assisted engineering with proven third-party integrations to create digital products that are fast, reliable, and built to grow. 👉 Explore how this synergy is changing software development: https://lnkd.in/gT-3HNRv #aiinengineering #aisoftwaredevelopment #aisolutions #futureoftech

5 years from now how does software development look: It is predicted that by 2028, 60% of software development companies will use enterprise low-code as their main developer platform. Here is how the field will develop: 1️⃣ GenAI becomes native to low-code Design, build, write, optimize - AI will generate UI, logic, content, and even docs by default. 2️⃣ Fusion teams will be the norm Citizen devs, pro devs, and AI working together on one app. 3️⃣ Core components still matter AI is powerful, but it can’t fix broken workflows or poor data design. Good structure still wins. 4️⃣ Governance gets automated Built-in guardrails: approvals, audits, compliance, all handled inside the platform - with integrations into CRMs, PM tools, and cloud services. 5️⃣ Industry-specific low-code tools emerge Think: finance, healthcare, public sector - platforms with embedded compliance and domain logic. 6️⃣ Security isn’t an add-on Expect native encryption, role-based controls, and compliance-ready frameworks to be the standard. 7️⃣ Citizen devs will ship more - but need support Training, templates, and smart restrictions will be key to avoid future maintenance chaos. 8️⃣ Hyper-agile delivery becomes the baseline Apps go from idea → live in days, thanks to reusable components, AI co-pilots, and cross-functional teams. 📥 What do you think - will AI make low-code safer, or more chaotic? #LowCode #NoCode #AI #DigitalTransformation #SoftwareDevelopment #FutureOfWork

AI isn’t replacing developers, it’s upgrading them. The next 5 years will reshape software development more than the last 20. What’s changing: - Boilerplate, bugs, & documentation → Automated - Devs focus on architecture, strategy, and problem-solving - No-code expands the builder community - Smaller, faster, more efficient teams What still matters: • Critical thinking • System design • Security & integrations • Communication & creativity The winners? Developers who use AI as leverage. Not those who ignore it. The future isn’t replacement, it’s elevation. The best time to adapt is now. #SoftwareDevelopment #AI #NoCode #Automation #FutureOfWork #TechInnovation

🧠 Software isn’t just code—it’s a living system. Every line we write is a decision: about scale, security, clarity, and future-proofing. And every bug we squash teaches us something deeper about how systems behave under pressure. The best software isn’t just elegant—it’s resilient. It survives edge cases, adapts to change, and tells a story through its architecture. As AI and automation reshape the landscape, the question becomes: How do we build systems that not only work—but learn, evolve, and scale with purpose? If you’re building something that needs to last, here’s a challenge: 🔍 Don’t just optimize for performance. Optimize for understanding. 🛠 Don’t just ship features. Ship clarity. 🧩 Don’t just solve problems. Solve for the unknown. Let’s build software that thinks ahead. #SoftwareEngineering #BackendArchitecture #AI #ScalableSystems #TechLeadership #ResilientCode #Automation #LinkedInTech

The future of software development isn’t coming, it’s already here. By 2026, low-code, no-code, and AI-assisted development will be at the center of how enterprises build software. These platforms are doing more than speeding up delivery, they’re turning business users into builders. What once took months of coding can now be prototyped in hours. And according to Gartner, the low-code market will hit $44.5 billion by 2026, with 80% of tech products built by non-IT professionals. The shift is clear: AI is now the co-developer. With natural language prompts and drag-and-drop automation, teams can describe what they want while AI handles testing, scaffolding, and optimization. The result? Fewer backlogs, faster releases, and tighter collaboration between business and IT. The opportunity: Those who can blend AI-powered automation with low-code logic will lead the next wave of innovation. Skills like workflow orchestration, prompt-driven development, and governance are fast becoming must-haves. The rise of these hybrid systems isn’t just about efficiency—it’s about accessibility. The next generation of software creators might not come from IT at all. What do you think? #LowCode #AIAssistedDevelopment #DigitalTransformation

🚀 The 2025 State of AI-Assisted Software Development – Key Takeaways from the DORA Report The 2025 DORA Report marks a turning point in how we measure and understand software delivery performance in the era of AI-assisted development. This year’s findings show that AI tools are no longer just accelerators—they’re enablers of higher quality, happier teams, and stronger business outcomes. Some standout insights include: ✨ Teams that effectively integrate AI pair programming report up to 30% faster deployment cycles and 25% fewer defects. 🧠 Developer well-being is emerging as a new productivity metric — automation is freeing engineers from repetitive toil and cognitive overload. ⚙️ Elite performers continue to outperform by focusing on flow efficiency and socio-technical alignment, not just raw output. 🌍 The ecosystem is shifting: AI, platform engineering, and cultural maturity are now deeply interlinked. The message is clear: AI is reshaping the foundations of DevOps success. It’s not about replacing developers — it’s about empowering them to deliver better software, faster, and more sustainably. 🔗 #DORA #AIDevelopment #DevOps #SoftwareEngineering #Productivity #SpazioIT #TechnologyInnovation

NEW RESEARCH ALERT!!🚨 AI-Assisted Code Generation Tools: Buyers Guide and Market Trends Accelerate development velocity with AI-assisted code generation tools. Software delivery teams are facing increasing pressure as traditional development methods struggle to keep pace with rising complexity, talent shortages, and the demand for continuous innovation. AI-driven development tools have the potential to enhance throughput, reduce manual effort, and improve code quality. However, many teams encounter difficulties in selecting the right solution tailored to their unique organizational needs. Our Buyers Guide aims to simplify the decision-making process by helping you identify tools that align with your development goals, team capabilities, and existing workflows. AI-assisted code generation is transforming software development. Yet, with a rapidly evolving market filled with vendors, organizations often find it challenging to keep up, resulting in missed opportunities, misaligned tool choices, and wasted resources. IT leaders require a strategic approach to streamline decision-making, accelerate time-to-value, and prevent costly missteps. Learn more here --> https://lnkd.in/e5d9fa6s #ai #aicodegeneration #aivendors #buyersguide #markettrends #aiplatform #cio #iTRG #itadvisory