Implementing Agentic Mesh in Software Architecture

📚 New Tutorial on SYUTHD: Implementing LLM-Native Architecture: Building Resilient Agentic Workflows in 2026 🏷️ Category: Software Architecture 📖 Read it here → https://lnkd.in/gtF6B8Zf 💬 Telegram: https://t.me/nisethtechno 👍 Facebook: https://lnkd.in/gsKv3Dyn #SoftwareArchitecture #Tech #Tutorial #Programming #2026

📚 New article just published on SYUTHD! 🔖 Architecting the Agentic Mesh: Designing Scalable Multi-Agent Systems for 2026 🏷️ Category: Software Architecture 📖 Full article → https://lnkd.in/gj68sexM 👉 Follow our page for more tech tutorials: https://lnkd.in/gsJDptPM 💬 Telegram: https://t.me/nisethtechno 👍 Facebook: https://lnkd.in/gsKv3Dyn #SoftwareArchitecture #Tech #Tutorial #Programming #TechBlog #2026

Ever merged modulo with dynamic programming and watched the problem shrink instantly? In competitive programming, the difference between a good solution and a great one is often not speed alone, but state reduction. This is learned from CodeForces itself. This problem is a clean example: instead of thinking in terms of all subset sums, we only care about the remainder after division by k. That shift matters in contests because it saves both time and mental bandwidth and some key ideas that can help you- • Read the problem as a subset-sum divisibility check, not as a full-sum enumeration problem. • Recognise that modulo preserves addition and other operations, so every number can be replaced by its remainder. • Analyse constraints early: a full combinatorial DP is too large, but a remainder-based state fits. • Select the right approach: dp[r] tells whether a remainder r is reachable. • Implement with state compression: update from dp[i][r] to dp[r] carefully. • Debug edge cases like r = 0, repeated values, and transitions that wrap around k. Try solving this problem for instance - https://lnkd.in/gJBE8Qdi What most people miss is that CP improvement is rarely passive practice. It is pattern recognition under pressure. The same mindset appears in real engineering: reduce the state, constrain the search space, and optimize what truly matters instead of brute-forcing every possibility. How often do you pause and ask whether the problem can be redefined before you try to solve it? Follow Vishu Kalier for more such insights. #CompetitiveProgramming #DynamicProgramming #ModuloDP #DSA #Algorithms #ProblemSolving #Coding #SoftwareEngineering #cfbr #Eternal #Leetcode #Codeforces

The resurgence of Functional Programming - A deep dive into the core concepts and real-world applications. #tech #softwareengineering Read the full article on Techidevs: https://lnkd.in/eCDmrYGa

Tired of high API bills while building with agentic tools? You can now run the Claude Code agent harness using open-source models via Ollama. The Setup: - Install Ollama (if you haven’t yet). - Pull a top-tier coder: ollama pull qwen3-coder. - Redirect & Run: Set your base URL to localhost and launch. I have summarized the transition from the "Old Way" to the "New Way" in the infographic below. #DevOps #LocalLLM #Anthropic #Programming #TechTrends2026 #AIAgents

“Can we just hide this section?” sounds simple… until the next question is: for whom? 😄 In software, visibility is rarely one switch. It usually means roles, states, devices, permissions, and edge cases. Hiding a block is easy. Hiding it correctly is the real task. #programming #softwaredevelopment #webdevelopment #developerhumor #tech #coding

Want to understand software from the inside out? Reverse engineering lets beginners break down applications, study functionality, and learn real-world architecture. Read the full blog: https://lnkd.in/gA9JHtcr #ReverseEngineering #SoftwareEngineering #Programming #CodeAnalysis #SoftwareDevelopment #TechLearning #ComputerScience #DeveloperTools #CodingBasics #SoftwareArchitecture

Most teams don't lose time writing code. They lose time understanding existing code. Typical signals: • unclear boundaries • hidden dependencies • too much shared state • side effects everywhere • fear of changing anything Simple systems are faster to ship, easier to debug, and cheaper to maintain. Maintainability > cleverness. #softwareengineering #cleancode #architecture #programming #techlead

Dependency count is easy to measure. Dependency importance is not. Two projects can have the same number of dependencies and completely different risk profiles. Because structure is what drives impact. Not all nodes in a graph are equal. Some are replaceable. Some are load bearing. We just don’t have good ways to surface that yet. That is the problem space I’ve been exploring recently. #opensource #devtools #softwareengineering #architecture #programming

This is what happens when you skip the refactoring phase. 🛠️ On the left: The clean, modular architecture we promised in the sprint planning. On the right: What actually happens when you pile "just one more feature" onto a rushed MVP. Technical debt isn't just a metaphor; it's a desert-modified war machine that eventually requires a full rebuild. Who's currently fighting the "Mad Max" version of their codebase? 🙋♂️ #TechnicalDebt #CleanCode #WebDevelopment #Programming #TechLeadership