Flare – Full-Stack OpenTelemetry Observability for Apache Spark
ByteBuddy injects trace context into Spark tasks; sees executor-level details no competitor offers.
Local-first memory for you and your coding agents. Every session and PR, searchable; the raw data is yours to analyze.
Local-first agent memory with MCP server when Cursor and LangSmith already exist.
Teams using coding agents (Claude Code, Codex, Cursor)
Cursor · LangSmith · Warp
I open-sourced a tool that streams data from all your dev machines, VMs & sandboxes into S3. You can run your own analysis from there or use the bundled TUI.
Why I built this: I run a team of ~10 AGI-pilled engineers and struggle to keep track of how the work we do aligns to the milestones/projects we look in planning.
synty helps me identify areas of work that are getting a lot of agent/human attention but they are not accounted for in planning and we use this data to justify re-factoring/documentation efforts to remove friction for agents
ByteBuddy injects trace context into Spark tasks; sees executor-level details no competitor offers.
Kafka-native agent coordination with structured envelopes—but agentic Kafka routing is nascent and audience is infrastructure-only.
Automated rollback on regression is a killer feature LangSmith doesn't have.
Sentry for LLMs with human-aligned evals when LangSmith already owns this space.
Replays agent traces step-by-step to pinpoint exact failure turns automatically.
One binary with embedded dashboard beats LangSmith's closed-source SaaS for Go teams.