“Context is now a first-class architectural concern.” LLM systems don’t break because of weak models. They break because of weak context design. We’re architecting reasoning pipelines now. medium.com/@jeremydaly/... #AIArchitecture #LLMs #AgenticAI #RAG #SystemDesign #CloudArchitecture

Gemini 3 Deep Think signals the next phase of LLM evolution: structured, multi-step reasoning over speed. This is about orchestration, planning, and tool-aware intelligence — not just better text prediction. blog.google/innovation-a... #Gemini #AIModels #LLMs #GenerativeAI #GoogleAI #AIAgents

As AI workloads explode, datacenter power distribution becomes the real constraint. High-temperature superconductors could reduce energy loss and enable denser, more efficient AI infrastructure. azure.microsoft.com/en-us/blog/c... #Cloud #HPC #Datacenters #EnergyTech #Azure #Infrastructure

GitHub’s agentic workflows push automation into reasoning territory. Not just pipelines — but agents that analyze, modify, and act. The opportunity is huge. The governance question is bigger. thenewstack.io/github-agent... #GitHub #AIAgents #PlatformEngineering #CloudNative #SRE #Automation

Cloud Observability now offers a new OpenTelemetry ingestion API with native OTLP support for logs, traces, and metrics. A big step toward simpler, vendor-neutral observability pipelines. Docs: docs.cloud.google.com/stackdriver/... #OpenTelemetry #OTel #Cloud #Observability #Tracing #Metrics

AI is most useful when it removes toil, not when it pretends to replace judgment!

Claude Opus 4.6 arriving on Azure Foundry signals where enterprise AI is heading: LLMs as agentic components inside real workflows — coding, refactoring, automation, ops. The race os platform integration + governance now. azure.microsoft.com/en-us/blog/c... #AI #Claude #Azure

Quantum computing isn’t just faster compute — it breaks today’s cryptography. The shift to post-quantum crypto is a migration, not a switch. Long-lived data is already exposed via “harvest now, decrypt later”. Plan for crypto-agility now. blog.google/innovation-a... #QuantumComputing #Security

PostgreSQL on Azure is being repositioned as AI infrastructure, not just a managed DB. Vector search, AI-ready performance, and enterprise controls signal a shift: your database is now part of the AI system design. azure.microsoft.com/en-us/blog/p... #Azure #PostgreSQL #AIInfra #VectorSearch

AWS is quietly shifting agentic AI from experiments to infrastructure. Bedrock Agent Workflows + private SageMaker connectivity signal a focus on governed, enterprise-grade AI, not demos. aws.amazon.com/blogs/aws/aw... #AWS #AgenticAI #EnterpriseAI #MLOps

Is MoltBook a genuine leap in AI-native developer workflows — or just another notebook with hype? Solid analysis on context, persistence, and whether this survives real engineering use. thenewstack.io/moltbook-the... #AIEngineering #DeveloperTools #LLMs #AgenticAI

ZetaSQL has been renamed to GoogleSQL — aligning the open-source project with the SQL dialect used across Google’s data platforms. Clearer naming, same open governance, stronger ecosystem signal. opensource.googleblog.com/2026/02/zeta... #GoogleSQL #ZetaSQL #OpenSource #Databases #SQL #CloudData

Rust-based QUIC / HTTP-3 stacks are hitting production maturity. This isn’t just about speed — it’s about memory-safe, async-first networking becoming the default for modern infra. www.infoq.com/news/2025/12... #Rust #QUIC #HTTP3 #Networking #EdgeComputing #CloudNative #Infra #GrowthMode

werf turns 10. A reminder that Kubernetes delivery is about discipline, not tools. Build + deploy as one workflow. Git-driven state. Fewer abstractions. Worth revisiting as platform engineering matures. thenewstack.io/a-decade-of-... #Kubernetes #DevOps #PlatformEngineering #GitOps #CI/CD

AWS shows how to do File Integrity Monitoring using Systems Manager + Amazon Security Lake. Host-level file changes become normalized security signals you can query and correlate across accounts — without agents! aws.amazon.com/blogs/securi... #AWS #CloudSecurity #SecurityLake #DevSecOps #SRE

OpenAI’s Postgres scaling story reinforces a timeless lesson: scale vertically, use replicas and pooling early, and shard only when you must. Most database bottlenecks come from system design choices, not Postgres limits. openai.com/index/scalin... #PostgreSQL #DistributedSystems #Platform #SRE

Open Notebook explores a better AI interaction model: visible reasoning, preserved context, and real notes — not just chat replies. As AI enters serious work, transparency and traceability matter more than “magic answers.” www.open-notebook.ai #AI #AIAssistants #AgenticAI #DeveloperTools

Embedding security directly into application code changes the game. Arcjet’s Python SDK shows how rate limiting and abuse protection can be versioned, tested, and evolved like any other dependency — not bolted on later. thenewstack.io/arcjets-pyth... #DevSecOps #Python #SecureByDesign

AI workflows amplify bad specs. This piece shows why adding SpecKit to Antigravity matters: it forces engineers to document constraints, failure modes, and intent — not just the happy path. Better specs = better systems. medium.com/google-cloud... #SoftwareDesign #Specifications #AIEngineering

Nick Tune’s take on coding-agent workflows is spot on: success isn’t about autonomy, it’s about structure. Agents need boundaries, feedback loops, and human review to scale beyond demos. medium.com/nick-tune-te... #AgenticAI #AIEngineering #DevEx #SoftwareArchitecture #LLMs #PlatformEngineering

Google Cloud’s BigQuery Agent Starter Pack highlights the real work behind AI agents: guardrails, permissions, observability, and cost control. Data agents are infrastructure, not toys. medium.com/google-cloud... #AgenticAI #BigQuery #Data #AIArchitecture #GoogleCloud #LLMs #EnterpriseAI #MLOps

Rob Pike’s deep dive on floating-point math via Knuth is a reminder that numerical correctness is foundational, not optional. As systems scale (AI, finance, infra), these “old” lessons become critical again. research.swtch.com/fp-knuth #ComputerScience #FloatingPoint #SoftwareEngineering

As codebases and AI-generated code scale, text-based search breaks down. RepoGrep explores semantic-aware code search — a key building block for better reviews, refactors, and AI-assisted engineering. app.ami.dev/repogrep #DeveloperTools #CodeSearch

Databases didn’t converge in 2025 — they diverged. More engines, more specialization, more cloud lock-in, and more operational load pushed onto platform teams. www.cs.cmu.edu/~pavlo/blog/... #Databases #Data #Platform #CloudNative #SRE #DevOps

Java on serverless is finally living up to the promise. Spring Boot + GraalVM on Cloud Run delivers fast cold starts, lower memory use, and clean DDD-based architecture — without sacrificing scalability. medium.com/google-cloud... #Java #SpringBoot #Serverless #Cloud #GraalVM #Architecture

Reading Go issue #76175 reinforces why Go works so well at scale. Design discussions focus on long-term simplicity and performance, not novelty. That discipline is why Go keeps powering critical infrastructure reliably. 🔗 github.com/golang/go/is... #GoLang #Systems #Platform #OpenSource

Go 1.26 brings the long-awaited vectorized operations (SIMD) in the simd/archsimd package. Since it's hard to create a portable high-level API, the Go team decided to start with a low-level, architecture-specific one and support only amd64 for now.

BigQuery now supports multiple flavors of Apache Iceberg — and the differences matter. Managed, external, and hybrid options change who owns metadata, performance, and governance. Open formats don’t remove trade-offs; they move them. 🔗 medium.com/google-cloud... #Apache #Iceberg #Data #BigQuery

Running Java/Jakarta EE on unikernels like Nanos challenges modern cloud assumptions. Fewer layers, smaller attack surface, faster boot — especially relevant for serverless, edge, and cost-sensitive workloads. Worth revisiting what we’ve taken for granted. 🔗 foojay.io/today/java-j... #Cloud #Nanos

AWS shows how to build an AI website assistant on Amazon Bedrock—but the real lesson is platform maturity. When models, guardrails, and retrieval are managed, AI becomes a repeatable product capability, not a one-off experiment. 🔗 aws.amazon.com/blogs/machin... #AmazonBedrock #GenerativeAI

Misconfigured Kubernetes RBAC in Azure highlights a familiar truth: security failures are usually about authorization drift, not exploits. Least privilege, continuous validation, and RBAC-as-code are no longer optional for platform teams. 🔗 thehackernews.com/2024/12/misc... #K8s #RBAC #Azure

AWS’s EC2 Interruptible Capacity Reservations formalize a useful idea: declare which workloads can be interrupted, get better economics in return. This is cloud infra evolving toward intent-driven design — not everything needs 100% availability. 🔗 aws.amazon.com/about-aws/wh... #AWS #EC2

Solid deep dive into TCP internals—congestion control, slow start, buffering, and how they affect real-world performance. cefboud.com/posts/tcp-de... #Networking #SRE

AI is driving unprecedented hyperscaler capex, but The Register raises a fair question: will utilization and pricing justify the spend? For users, this reinforces the need for flexible, efficiency-first architectures — not blind faith in scale. 🔗 www.theregister.com/2025/12/22/a... #AI #Cloud

DevOps.com’s 2026 outlook nails the direction: AI-assisted development, mature platform engineering, and security-first design are converging into a single operating model. �� https://devops.com/3-notable-software-development-trends-for-2026-and-beyon#Softwaref#Platforma#AIr#DevOpsD#Cloud#Cloud

AWS published a solid guide on implementing HSTS across AWS services. Done correctly, HSTS is a low-cost, high-impact security control that eliminates downgrade attacks and enforces HTTPS by default at the edge. 🔗 aws.amazon.com/blogs/securi... #CloudSecurity #HSTS #AWS

Kubernetes risk doesn’t live in YAML — it emerges at deployment time. AI-powered, deployment-aware analysis can spot issues traditional scanners miss: RBAC drift, namespace trust issues, network exposure, sidecar risks, and pipeline order effects. 🔗 thenewstack.io/ai-can-deliv... #k8s #AI #risk

The agents.md pattern for GitHub Copilot is one of the most important updates for AI-augmented development. It gives AI tools explicit context, rules, and intent — reducing drift and improving code quality. Every repo should adopt it. 🔗 build5nines.com/unlock-githu... #GitHub #Copilot #AI

AWS Graviton5 takes an interesting stance: focus on throughput, efficiency, and cloud-native workload patterns instead of single-thread supremacy. A CPU designed around how distributed systems actually behave. 🔗 www.nextplatform.com/2025/12/04/a... #AWS #Graviton5 #CloudArchitecture #ARM

Fil-C is a compelling new direction for systems programming: a memory-safe implementation of C/C++ that keeps full compatibility with existing software, build systems and tooling. 🔗 fil-c.org #MemorySafety #SystemsProgramming #C #CPP

AWS just introduced IAM Policy Autopilot, an open-source MCP server that generates secure IAM policies from natural-language intent. 🔗 aws.amazon.com/blogs/aws/si... #AWS #IAM #Security #MCP

Congress is preparing AGI-targeted legislation with requirements for audits, provenance, lineage, and safety controls. AI systems are being treated less like tools and more like autonomous infrastructure… 🔗 m.slashdot.org/story/449659 #AI #AGI #Safety #Governance

AWS just introduced an Infrastructure-as-Code MCP Server, giving AI agents first-class access to CDK and CloudFormation. 🔗 aws.amazon.com/blogs/devops... #AWS #IaC #MCP #DevOps

Google Cloud’s newest TPU mythbusting article shows how far TPU workloads have come: predictable pricing, strong training throughput, simplified scaling, and increasingly mature software tooling. 🔗 medium.com/google-cloud... #AIInfra #TPU #GoogleCloud

Google Cloud’s new AI SRE assistant inside the Gemini CLI is a big shift: conversational diagnostics, OS-level insights, and automatic log/metric summarisation directly in the terminal. 🔗 medium.com/google-cloud... #SRE #AIOps #GoogleCloud #Gemini

GNOME Foundry looks like a great step forward for Linux DX — a complete “IDE-in-a-box” with templates, tooling, debugging & packaging built in. A more consistent, streamlined workflow for GNOME and Linux developers. 🔗 thenewstack.io/gnome-foundr... #Linux #DevTools #OpenSource

Really enjoyed reading about SimplicityOS — a tiny, elegant OS built around clarity and minimalism. A great reminder that well-designed systems don’t need layers of abstraction to be powerful. 🔗 isene.org/2025/11/Simp... #UNIX #Minimalism #OpenSource

Exploring workmux, a lightweight TMUX-inspired workflow multiplexer. Define terminal workflows declaratively → spin them up instantly. Great for dev, ops, K8s work, and repeatable environments. 🔗 github.com/raine/workmux #DevTools #CLI #OpenSource

OctoSQL is a very cool OSS tool: it unifies files, DBs, APIs, and cloud sources under a single SQL interface. Great for debugging distributed systems, incident response, and fast data exploration without pipelines. 🔗 github.com/cube2222/oct... #OpenSource #SQL #SRE #DataEngineering

Memori from GibsonAI is an open-source long-term memory layer for LLM agents — persistent, lightweight, and built for real workflows. Supports episodic + semantic memory and removes the need for heavy RAG setups for small apps. 🔗 github.com/GibsonAI/Mem... #AI #LLM #Agents #OpenSource