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- 🍔🧠 This New LinkedIn AI Pipeline Powers 800M Users
🍔🧠 This New LinkedIn AI Pipeline Powers 800M Users
PLUS: Claude as Coding Agent 🧠, Migrating 13K Tables in 4 Hours ⏱️, How Linear Scaled Multi-Region 🌍
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📚 Software Engineering Articles
The AI code review CLI era is here
Amazon director shares why he quit at 42, choosing life over career
Three-step debugging process that works for any bug
Learn how to scale to 10M users on Azure
AI's impact on software development across tech companies
Critical system design interview tips for success
🗞️ Tech and AI Trends
React's dominance might be stifling frontend innovation
Massive malware attack hits NPM ecosystem
Nvidia invests $5B in Intel partnership
👨🏻💻 Coding Tip
Convert arrays to objects using Object.fromEntries() for cleaner data handling
Time-to-digest: 5 minutes
Big thanks to our partners for keeping this newsletter free.
If you have a second, clicking the ad below helps us a ton—and who knows, you might find something you love. 💚

CodeRabbit CLI brings instant code reviews directly to your terminal, seamlessly integrating with Claude Code, Cursor CLI, and other AI coding agents.
While they generate code, CodeRabbit ensures it's production-ready - catching bugs, security issues, and AI hallucinations before they hit your codebase.

LinkedIn processes petabytes of data daily across thousands of AI pipelines to power personalized experiences for 1.2 billion members. Their legacy ProML system was buckling under the weight of modern AI demands, forcing engineers to wait over 14 minutes just to tweak a single parameter.
The challenge: Build a next-generation AI pipeline ecosystem that scales to 100k+ monthly executions while dramatically reducing iteration times and maintaining reliability across multi-cluster environments.
Implementation highlights:
Decoupled dependency management: Cache components in Docker images and manifests to eliminate 10-15 minute rebuild cycles, enabling sub-30-second launches
Smart caching and partial reruns: Store intermediate results and enable targeted re-execution of failed workflow segments to minimize redundant computation
Multi-cluster global scheduling: Leverage Flyte's decoupled architecture with custom global scheduler for intelligent routing based on data locality and resource availability
Disruption-ready checkpointing: Implement coordinated all-reduce operations for graceful job shutdowns during node maintenance, reducing infrastructure failures by 90%
Reusable component hub: Centralize standard and custom components across teams to promote collaboration and accelerate development through shared building blocks
Results and learnings:
Lightning fast iterations: Reduced launch times from 14+ minutes to under 30 seconds - a 20x improvement that unlocks rapid experimentation
Massively reliable: Cut failure detection time by 80% while supporting 100k+ monthly executions across multiple data centers and GPU SKUs
Production ready: Now powers 100% of LinkedIn's AI workloads including recommendation systems and generative AI applications
OpenConnect proves that you can rebuild critical infrastructure without breaking the business. Their approach prioritizes developer velocity while maintaining enterprise-grade reliability, showing that the best platforms disappear into the background.

ESSENTIAL (clean and tidy)
Clean Code Tips I Learned from Senior Engineers
ARTICLE (ai productivity detective)
How tech companies measure the impact of AI on software development
ESSENTIAL (smoke signals)
How to Prevent Release-Day Disasters with Simple Smoke Tests
ARTICLE (draw me like your SDK)
Announcing tldraw SDK 4.0
ESSENTIAL (azure to the moon)
How to Scale an App up to 10 Million Users on Azure
ESSENTIAL (cache me if you can)
To Cache or Not to Cache
ARTICLE (outbox ninja)
How to implement the Outbox pattern in Go and Postgres
ESSENTIAL (bug busters)
My 3-Step Debugging Process That Can Solve Any Bug
ARTICLE (iceberg express)
Migrating 13,000 Iceberg Tables in 4 hours to Glue Catalog
ARTICLE (ai bookworm)
The best blogs about AI that engineers actually read
Want to reach 190,000+ engineers?
Let’s work together! Whether it’s your product, service, or event, we’d love to help you connect with this awesome community.

Brief: Nvidia and Intel announce groundbreaking partnership to develop joint x86 RTX SoCs for PCs, with Nvidia investing $5 billion in Intel stock and expanding into custom data center processors.
Brief: Over 526 npm packages including CrowdStrike's were compromised in the "Shai-Hulud" malware campaign that steals credentials and creates unauthorized GitHub Actions to exfiltrate sensitive data through 7 different malware versions.
Brief: A detailed analysis reveals how React's dominance in frontend development through network effects rather than technical merit is hindering innovation, while alternatives like Svelte, Solid, and Qwik struggle for adoption despite superior performance capabilities.
Brief: Tech enthusiast transforms disposable vape containing a PUYA microcontroller into a functioning web server capable of handling HTTP requests at 20ms ping times, demonstrating creative e-waste repurposing.
Brief: Waymo announces major expansion plans including new services in Nashville and Dallas by 2026, secures permits for autonomous operations at SFO and San José airports, and receives historic first permit for autonomous driving in New York City.

This week’s coding challenge:
This week’s tip:
Use AbortController to cancel multiple in-flight requests and avoid race conditions when components unmount or user input changes rapidly. The controller can manage several fetch operations simultaneously and provides a clean cancellation pattern.

Wen?
React component cleanup: Prevent setState on unmounted components by aborting API calls in useEffect cleanup
Search autocomplete: Cancel previous search requests when user types new characters to avoid stale results
Modal dialogs: Abort pending requests when modal closes to prevent unwanted side effects
"I've missed more than 9000 shots in my career. I've lost almost 300 games. Twenty-six times I've been trusted to take the game winning shot and missed. I've failed over and over and over again in my life. And that is why I succeed."
Michael Jordan


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