Reflection – Week 2

CharanTeja Chavithina — Wed, 15 Jul 2026 06:20:09 +0000

Reflection – Week 2

Name: Chavithina Charan Teja

Week 2 of the DevOps Micro Internship has been one of the most challenging and rewarding learning experiences in my career. Coming from a traditional DevOps and Site Reliability Engineering background, I initially thought this week would mainly be about learning another AI tool. Instead, I discovered an entirely new way of working with AI through Claude Code, Skills, Subagents, MCP, Hooks, Permissions, and Memory. Every single day introduced concepts that I had never used before, and the learning curve was much steeper than I expected.

The journey started with something as basic as installing and configuring Claude Code. Even this first step was not straightforward. I faced installation issues, authentication challenges, and several configuration problems before I was finally able to get everything working correctly. Although these challenges were frustrating at first, they taught me an important lesson: every new technology requires patience, persistence, and hands-on practice. Solving each issue gave me more confidence to move on to the next topic.

One of the biggest highlights of Week 2 was learning about Claude Code and understanding how AI can become an active engineering partner instead of just answering questions. Watching it generate infrastructure, automate repetitive tasks, and assist in development workflows completely changed my perspective on how software engineering and DevOps will evolve in the coming years.

Another fascinating topic was Skills and Subagents. Initially, it was difficult to understand why we needed different skills and specialized agents. However, after completing the practical assignments, I realized how powerful this architecture is. Breaking complex work into smaller specialized agents makes automation more structured, reusable, and scalable. It felt very similar to designing microservices, but this time for AI-powered workflows.

The topics of Hooks, Permissions, and Memory were equally exciting. Hooks demonstrated how automation can be triggered intelligently during different stages of a workflow. Permissions taught me the importance of maintaining security and control while allowing AI agents to perform actions. Memory was probably the most impressive feature because it showed how an AI agent can remember previous project decisions and continue working without requiring the same context repeatedly. This made me realize how much productivity can improve when AI becomes context-aware.

The practical assignments throughout the week were extremely valuable. Every exercise required real implementation instead of simply watching videos or reading documentation. There were moments when I got stuck for hours while troubleshooting errors, understanding configurations, or figuring out why something wasn't working. Instead of skipping those problems, I kept experimenting until I found the solution. Those struggles became the most memorable learning moments because they strengthened my understanding far more than simply reading theory.

The biggest mindset shift for me this week was realizing that learning AI-powered engineering is not about memorizing commands. It is about understanding workflows, experimenting continuously, asking better questions, and building practical solutions. This course has encouraged me to think differently about automation and has shown me that the future of DevOps is becoming increasingly agentic, where engineers collaborate with intelligent AI systems to deliver faster and more efficiently.

One habit I am committed to implementing is dedicating every day after 9:00 PM exclusively to practicing everything I learn in this internship. Rather than only watching the sessions, I will recreate every practical demonstration, complete every assignment, and continue experimenting until I fully understand each concept. I believe consistency is far more valuable than occasional motivation, and this daily learning routine will help me build strong practical expertise in Agentic AI and modern DevOps.

Finally, I would like to sincerely thank Pravin Mishra, Anajana, and all the mentors for designing such an outstanding learning experience. The course is filled with real-world practical demonstrations, challenging assignments, and industry-relevant content that pushes every learner beyond their comfort zone. The guidance, continuous updates, and hands-on approach make this internship truly different from traditional training programs. I am genuinely excited for the upcoming weeks and look forward to applying these new skills in real-world DevOps and AI engineering projects.

ABOUT MY Self

CharanTeja Chavithina — Fri, 03 Jul 2026 18:02:26 +0000

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ABOUT MY Self

This is Charan here

I am currently working as an Technical manager and have experience in java microservices and production support. As a manager my focus is to enhance three pillars;system reliability operation excellence and team enablement. I led large technical teams and partnered with the global business stakeholders for delivery of stable

secured

and cost-efficient platforms. I manage cross-functional teams of around 40 members I ensure with owner ship models encourage incident management & ICA culture. I promote proactive communication with our stakeholders
and establish/create a strong release management and deployment governance model involved in monitoring key metrics

KPIs

first contact resolution. And regularly engage with client stakeholders

conduct status review meetings and present reliability metrics. Right now at this stage of my career my focus has not just been on technical execution but also on building high performing teams

maturing our engineering processes and aligning technology to the business outcome. My Continuous Learning Journey: Certifications That Shaped My Career in Site Reliability Engineering In the rapidly evolving technology industry

DEV Community: CharanTeja Chavithina

Reflection – Week 2

Reflection – Week 2

ABOUT MY Self