Reinventing.AI
Insights / Resources

Evaluation & observability

Inspect runs, measure outcomes, and understand failures before expanding automation.

Read the practical guide

7 resources. Listings are starting points; confirm current capabilities and terms with the publisher.

Evaluation & observability

Attractor

StrongDM's spec-first, non-interactive coding agent framework for "software factory" workflows.

Independent review pending

Evaluation & observability

Capsule

Just-launched (Sept 24, 2026) session-level time-travel debugger for AI coding agents from a tiny ex-Vercel and ex-Sourcegraph team out of YC W26. Wraps Claude Code, Codex, OpenCode, Cursor, Hermes, Kilo Code, and Mistral Vibe as a single `capsule wrap <agent>` shim with zero code changes, then records every LLM call, tool invocation, file edit, subagent spawn, and user message into a deterministic timeline that vibe coders can rewind to any step, branch into a parallel session with a different model or system prompt, replay the rest byte-identically, and ship fixes without rerunning the full 40-minute task. Solves the actual pain point that 'Why did my agent do that?' is unanswerable today: when an agent burns an hour, stalls on a missing import, and silently marks the task complete, Capsule shows exactly which step diverged, copies the working tree plus prompt state at that moment, and resumes from there. Killer features are deterministic capture (same inputs → byte-identical replay), a fork-graph visualizer across parallel sub-agents, prompt-template diffing (so you can see what changed in the system prompt that broke the run), and 'redo from step N with this patch' that resumes without re-paying for the earlier steps. Hit #2 Product of the Day on Product Hunt in its first 36 hours (~580 upvotes), repo at 8.4K GitHub stars in 4 days, and the founders are publishing a 'Vibe Code Debugging' field guide that turns Capsule sessions into shareable incident reports vibe coders can paste into PRs and Slack. MIT-licensed open-source core plus a free cloud tier with team-sharing rooms; runs local-only by default and ships with native Claude Code hook, Codex CLI hook, Cursor daemon integration, and an MCP server so any compatible harness can stream traces live.

Independent review pending

Evaluation & observability

Datadog MCP Server

Production observability for AI agents.

Independent review pending

Evaluation & observability

PandaProbe

A sharp new pick for serious AI agent builders, not another chatbot wrapper.

Independent review pending

Evaluation & observability

Polygraph

A meta-harness for AI coding agents that solves two of the biggest agent bottlenecks: cross-repo blindness and session amnesia.

Independent review pending