DroidCTX
Hi HN, I'm Siddarth, co-founder at DrDroid. We build tooling for engineering teams to detect and debug production issues faster. Our product is an always-on autonomous AI agent that listens to alerts, investigates issues and escalates where necessary, before an engineer even picks them up. While building that, we noticed something: our agent debugged issues significantly faster (and more accurately) when it had pre-built context about the infrastructure. Which services exist, which dashboards track what, what the DB schema looks like. Without it, agents spend the first stretch of every…
DroidCTX launched on March 5, 2026 with 7 votes, #1,458 of 23,380 launches that month and more than 90% of that year's launches.
What it does
DroidCTX is an Open Source CLI Tool that generates documents about production infrastructure that can be easily plugged into coding agents like Claude Code and Cursor. This tool makes the agent respond faster, more accurately, and with fewer token consumption because instead of needing to explore all the different MCP servers, it instantly knows where to begin investigations.
Infrastructure Context for your Coding Agents (Claude Code / Cursor) - DrDroidLab/context-builder
Infrastructure context builder for Claude Code and coding agents. Connect your production tools (Grafana, Datadog, Kubernetes, CloudWatch, databases, etc.), extract metadata, and generate structured .md files that give coding agents instant context about your infrastructure. # Install (creates an isolated venv at ~/.droidctx automatically) curl -fsSL https://raw.githubusercontent.com/DrDroidLab/context-builder/main/install.sh | bash # Or via pipx pipx install git+https://github.com/DrDroidLab/context-builder.git # Or manually with a venv python3 -m venv ~ /.droidctx && ~ /.droidctx/bin/pip install git+https://github.com/DrDroidLab/context-builder.git && mkdir -p ~ /.local/bin && ln -sf ~…from github.com
In the maker’s words, at launch
Hi HN, I'm Siddarth, co-founder at DrDroid. We build tooling for engineering teams to detect and debug production issues faster. Our product is an always-on autonomous AI agent that listens to alerts, investigates issues and escalates where necessary, before an engineer even picks them up. While building that, we…
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