Every engineer has two journeys:
One is the work we ship.
The other is the growth we quietly build behind the scenes.
The Engineer’s Logs is my attempt to capture that second journey.
These notes and logs are rough and candid, meant for me to revisit over time. But I figured—why not share them here too!
🔎 This Week’s (Tech and other) Musings
🎧 What I Consumed
I love This Week In Tech—this podcast roasts everybody, stays refreshingly unbiased, and is probably the only show that can hold my attention.
Law…huh…yeah, What is it good for? — Apple’s take on antitrust rulings: held in contempt for ignoring the 2021 injunction…because apparently, laws are optional. Cue Tim Cook’s hair flip.
Visa annouces plan to give agents your credit card info- Agents that learn your tastes can charge your credit card for things you’re likely to enjoy—with almost zero human oversight. It’s unsettling—picture those agents’ software updates tied to your buying power, upgrading themselves. RIP, paycheck.
Google’s got its own dilemma—imagine Sundar on vacation in India, riding in an auto rickshaw, weighing whether to ditch Chrome or surrender his search data. Spoiler: how about no.
Meanwhile, during the Google Cloud Summit 2025, India:
Gemini 2.5 Enhancements
Significantly upgraded reasoning and contextual understanding compared to prior Gemini versions
True multi-modal operation: it can ingest and output text, images, and video in a single pipeline, streamlining content-driven business processes
Global Infrastructure Build-out
Deployment of new subsea fiber cables “Umoja” and “Bosoon” to expand international bandwidth and reduce latency
These cables underpin Google’s cloud backbone, boosting throughput for the 2 billion+ AI models and datasets hosted in Workspace
Healthcare AI at Manipal Hospital
AI-driven monitoring during nurse handovers minimizes errors and accelerates patient data updates
Automated alerts highlight critical vitals changes, improving response times.
Enterprise AI Adoption by Wipro
Integration of Vertex AI pipelines with Gemini for code generation, model tuning, and automated testing
Migrated large-scale workloads to Google Cloud 30% faster by leveraging AI-powered migration assistants
AI First Accelerator Program
Joint initiative with MeitY Startup Hub targeting 10,000 Indian startups over next 3 years
Focus areas include healthcare AI, retail analytics, and sustainable-tech solutions
Agent Development Kit (ADK)
Framework for building autonomous “agents” that can plan, reason, and execute tasks based on live data feeds. Damn.
Includes SDKs for Python and Java, pre-built connectors to BigQuery, Pub/Sub, and third-party APIs
Simplifies integration into existing microservices architectures
Cloud Assist & Code Assist Tools
Embedded within popular IDEs to surface context-aware code snippets, bug fixes, and documentation links
Automates repetitive refactoring tasks—up to 40% time savings on boilerplate code
Improves code quality by suggesting security patches and performance optimizations in real time.
I used to type out scenarios and request boilerplate code from ChatGPT, but with tools like Cursor, Copilot, and Lovable, development time has been cut down drastically.
Emergence of Agentive Applications
Next-generation apps that proactively manage workflows—e.g., booking meetings, collating reports, or handling customer queries without direct prompts
Agents can inter-communicate, forming dynamic “agent networks” to solve complex, multi-step problems
I can imagine a bunch of agents sitting and gossiping about the fact that I missed yet another meeting that they set up. Ugh.
Vision for the Future
- Google positions these advances as building blocks for an AI-driven economy- by combining powerful models, robust infrastructure, and human expertise, the goal is to unlock new levels of efficiency and innovation across every industry.
… Google’s rolling out flashy AI bells and whistles just to remind everyone they’re still in the game, while OpenAI dominates the space.
Sorry Google, no consolation prizes in the AI world.
🎧 What I Learnt
🟡 AWS Learning Snapshot
I worked on getting an understanding of the AWS ecosystem, console navigation, key benefits, and core services like S3. I also covered the AWS Well-Architected Framework and its pillars, learned how AWS helps secure systems, and explored cloud migration strategies using AWS CAF and services like Snowball.
🔜 Up Next:
I’ll be diving into Cloud Economics and Global Infrastructure—understanding AWS cost optimization, right-sizing, connectivity options, and how AWS’s global architecture works. After that, I’ll get hands-on with the Core AWS Services including Compute, Database, and Storage, plus topics like serverless vs server-based solutions and creating S3 buckets.
I want to run through these super quickly so I can spend some time on AWS lambda functions, API gateway and SNS.
