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devtoolsentity · one source so far

google cloud

for backend developers, node engineers

Steadynpm
Signal score
0
as of 6h ago
Live items
1
Trajectory
→ Steady
7-day est. ~0

Why this scored 0

every term, weighted
Velocity+0.0 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+11.1 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+0.0 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty−30.0 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite-18.9 → clamped to 0

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Outlook

high confidence · estimate, not a guarantee

7-day

~0

range 0–12

14-day

~0

range 0–14

30-day

~0

range 0–19

Signal history

7-day window (free)
047

projected trajectory (estimate, not a guarantee)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 1
    75

    How to Build a Real-Time Voice AI Agent with the Gemini Live API

    Guide to building real-time voice agents with Gemini Live API. · for ai engineers, platform teams

    devtoHeatingai27d ago
  2. 2
    75

    Your First AI Agent: A Beginner's Guide to Building an AI Trend finder with ADK

    Step-by-step tutorial for deploying a single AI agent on Google Cloud with ADK. · for ai developers, cloud engineers

    devtoHeatingai52d ago
  3. 3
    67

    GPT-6 Is Coming to Google Cloud. Is Your AI Bill Ready?

    GPT-6 on Google Cloud will increase AI compute costs for users. · for cloud architects, finance ops

    devtoHeating 2 · gpt6ai1d ago
  4. 4
    62

    Activating Your Data Layer for Production-Ready AI

    Shows how to activate a production-ready data layer for AI on GCP. · for data engineers, ai platform teams

    devtoEmergingai20d ago
  5. 5
    62

    Google's QAT Gemma 4 26B-A4B on One TPU v6e: 15.6x the KV Cache and 1.9x the Throughput of FP8

    Gemma 4 26B runs 15.6× KV cache speed on one TPU v6e, improving inference throughput. · for ML engineers

    devtoEmergingai29d ago
  6. 6
    42

    Build a Long-Running Agent in the Cloud for $5.70/Month

    Shows how to run a low-cost, always-on AI agent on Google Cloud. · for ai engineers, cloud architects

    devtoEmergingai52d ago
  7. 7
    39

    Claude on Google Cloud workshop | NYC | 9/30

    Workshop demonstrates running Anthropic Claude on GCP, guiding AI product integration. · for ai engineers, cloud architects

    devtoEmerging 3 · claudeai31d ago
  8. 8
    35

    Safe Autonomy in Kubernetes: Building AI Troubleshooting Agents with Google Cloud and Human-in-the-Loop Controls

    Google Cloud and Kubernetes enable AI troubleshooting agents with human oversight. · for platform engineers, devops

    devtoSteady 2 · k8sai14d ago
  9. 9
    30

    FastMCP Is Now MCPServer: Migrating a Python MCP Server to the MCP SDK 2.x

    Shows how to move a Python MCP server to the newer MCP SDK 2.x on Google Cloud. · for backend engineers, devops

    devtoSteady 2 · pythondevtools44d ago
  10. 10
    30

    Build a Dart ADK Agent and MCP Server

    Building AI agents with Dart · for AI devs, cloud teams

    devtoSteady 2 · dartai77d ago
  11. 11
    22

    Your AI Agent Just Got a Passport: Agent Identity on Google Cloud and the Redeploy Trap Nobody Talks About

    Google Cloud adds agent identity features, affecting deployment and security handling for AI workloads. · for cloud engineers, AI developers

    devtoEmergingai11d ago
  12. 12
    22

    Equip your agent with Google Cloud best practices using google-cloud-developer plugin

    Adds a plugin to apply Google Cloud best practices for AI agents. · for cloud engineers

    devtoEmergingai32d ago
  13. 13
    22

    Taking control of cluster security: A deep dive into GKE ClusterNetworkPolicy

    GKE ClusterNetworkPolicy provides native network segmentation for Kubernetes clusters. · for platform engineers, security engineers

    devtoSteadysecurity61d ago
  14. 14
    22

    EmbeddingGemma 2 on Cloud Run: an int8 CPU Service Against an NVIDIA L4

    Shows how to run int8 Gemma 2 inference on Cloud Run using NVIDIA L4 GPUs. · for ml engineers, cloud engineers

    devtoSteadyai13d ago
  15. 15
    22

    Inference on Google Cloud: Precision, Memory and Capacity on TPU, from v5e to Ironwood

    New TPU v5e to Ironwood improve inference precision, memory and capacity on Google Cloud. · for ml engineers, cloud architects

    devtoSteadyai13h ago
  16. 16
    22

    ADK Beyond Its Own Tests: What Happens When Your Agent Answers a Client That Is Not ADK

    Shows how agents can respond to queries outside the ADK framework. · for ai agents engineers

    devtoSteadyai66d ago
  17. 17
    20

    Five things I found in Google's Agent Registry and Agent Gateway that aren't in the docs

    Undocumented features in Google Cloud Agent Registry and Gateway may impact security and integration. · for cloud engineers, platform teams

    devtoSteadyai71d ago
  18. 18
    18

    The ledger asks the model to show its work before it counts the money

    Proposes prompting models to show calculations before finalizing financial outputs. · for ml engineers

    devtoSteadyai47d ago
  19. 19
    18

    Three model calls, and none of them reads a price

    Model calls omit pricing info, requiring developers to add cost handling logic. · for LLM app developers

    devtoSteadyai58d ago
  20. 20
    18

    Seven Iceberg REST Catalogs: What They Declare, and What They Serve

    Google Cloud adds Iceberg REST catalogs, affecting lakehouse data pipelines. · for data engineers

    devtoSteadydata51d ago