langgraph
for AI engineers, platform teams
Why this scored 6
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
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
Signal history
7-day window (free)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.
- 135
The LangGraph agent trace that quietly lost its input and output
LangGraph loses input · for dev teams
devtoSteady 3 · javascriptdevtools29d ago - 218
The Most Important AI Agent Design Choice: Don’t Let the Model Be the Final Authority
Choosing who has final authority in multi-agent systems impacts safety and control. · for AI engineers, platform teams
devtoSteadyai12d ago - 310
The Rubric Line That Sent Me Down a Three-Layer Debugging Rabbit Hole
Debugging challenge solved · for ai devs, hackers
devtoSteady 2 · langgraphai53d ago - 49
Graph-Based Agentic AI with LangGraph: Workflow Pathways for Long-Running Stateful Business Processes
Graph-based agentic AI · for ai engineers
arxivSteadyai51d ago