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@goutham-annem started using tool Amazon Web Services , 1 day, 3 hours ago.
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@goutham-annem started using tool Amazon ECS , 1 day, 3 hours ago.
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@eon01 gave 🐾 to The unwritten laws of software engineering , 1 day, 6 hours ago.
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@varbear shared a link, 1 day, 9 hours ago
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Build and Deploy a Remote MCP Server to GKE in 30 Minutes

Google walks you through shipping a remoteMCP serveronGKE AutopilotusingFastMCPandstreamable-http, swapping localstdiofor shared HTTP endpoints. The clever bit: theGateway APIhandles managed SSL plusCLIENT_IP session affinity, so one centralized server beats everyone running redundant local copies... read more  

Build and Deploy a Remote MCP Server to GKE in 30 Minutes
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@varbear shared a link, 1 day, 9 hours ago
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The unwritten laws of software engineering

- Always related - first rollback, then debug. - Backups aren’t real until restored. - You’ll hate yourself for bad logs. - ALWAYS have a rollback plan. - Every external dependency will fail. - If there's risk, use the “4 eyes” rule. - Nothing lasts like a temporary fix... read more  

The unwritten laws of software engineering
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@varbear shared a link, 1 day, 9 hours ago
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How building an HTML-first site doubled our users overnight

Building HTML-first forms using Astro instead of React dramatically increased completion rates and sustainability, highlighting the effectiveness of lightweight, accessible web components for all users, regardless of browser or connectivity... read more  

How building an HTML-first site doubled our users overnight
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@varbear shared a link, 1 day, 9 hours ago
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Everything a Senior Engineer Needs to Know About What's Inside an LLM

The shift from RNNs totransformerssolved sequential bottlenecks and long-range decay issues withself-attention. Transformers use encoding, decoding, and tokenization to process sequences efficiently and accurately. This evolution led to models like GPT, which excel at tasks with minimal fine-tuning .. read more  

Everything a Senior Engineer Needs to Know About What's Inside an LLM
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@varbear shared a link, 1 day, 9 hours ago
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Google hits 50% IPv6

The 50% IPv6 milestone is real, but adoption differs by country. Analysts who report lower figures use population-weighted sampling, while their per-country adoption rates match the higher estimate... read more  

Google hits 50% IPv6
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@varbear shared a link, 1 day, 9 hours ago
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Building in the Age of Collaborative Coding

The speed of innovation is crucial for teams, and AI tools have enabled faster work. A collaborative coding model where teams build, review, and ship alongside AI agents is key to staying ahead in workflows. Three shifts have reshaped how teams build, leading to the adoption of a new collaborative c.. read more  

Building in the Age of Collaborative Coding
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@kaptain shared a link, 1 day, 9 hours ago
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Tigera introduces unified control plane for Kubernetes-based AI agent security

Tigera launched Lynx for general availability, a Kubernetes-native control plane that operators place in the path of AI agent calls so teams can enforce identity and policy... read more  

Tigera introduces unified control plane for Kubernetes-based AI agent security
ForgeMT is an open-source, production-grade platform designed to solve the complexity of running GitHub Actions runners at scale. Instead of teams managing their own fragile and duplicated CI runner setups, ForgeMT centralizes orchestration into a single, multi-tenant system built for scalability, security, and cost efficiency.

The platform provisions ephemeral runners on both EC2 and Kubernetes (EKS) using Terraform and Terragrunt, ensuring workloads scale up instantly and tear down to zero when idle, reducing costs. It enforces strong tenant isolation with AWS IAM, OIDC integration, and network segmentation, giving each team a secure boundary without requiring separate infrastructure.

ForgeMT integrates seamlessly with GitHub via a GitHub App and webhook events, automatically spinning up the right type of runner when jobs start. It supports advanced autoscaling strategies with Karpenter, spot instance optimization, and observability through centralized logging and monitoring.

By removing operational overhead, ForgeMT helps organizations accelerate delivery, cut cloud costs, and meet security requirements — all while giving developers fast, ephemeral CI runners that just work.