
Spotlight by Backplanes
Session reports for Claude Code & Codex to improve your code

Keep up with your agents. Spotlight reads your Claude Code and Codex sessions and shows you what your agents actually did, and how to get recursively better every session: what to fix now, what to ship better next time, what's worth sharing. One harness or seven, solo or across your team. Free.
AI Analysis
Spotlight by Backplanes is a free tool that reads Claude Code and Codex AI coding sessions to generate detailed reports. It reveals exactly what agents did, highlights immediate fixes, suggests improvements for future sessions, and identifies shareable insights. Key features include individual or team usage across multiple harnesses, enabling recursive learning and better code outcomes. It solves the pain of opaque AI agent sessions where developers struggle to track actions, audit results, or systematically improve workflows. The value proposition is enhanced visibility, productivity, and continuous optimization for solo developers and teams using AI coding tools.
With the rapid adoption of agentic AI and advanced coding models like Claude in 2025-2026, developers increasingly need visibility and optimization tools for AI sessions. LLM observability tech is maturing, user demand for auditability and recursive improvement is rising amid AI proliferation, and the economic push for dev productivity tools is strong. No major negative policy barriers. This is Excellent Timing.
Technical difficulty is moderate as it involves parsing existing AI session logs/APIs with NLP for insights; no complex hardware. Low development and operation costs for a SaaS tool. Main risks involve data privacy/compliance for code IP, but manageable. Strong scalability in cloud environment and good fit for a small dev team. Overall rating: High.
Main segments: Individual software developers, AI engineers, engineering teams at startups and tech firms (ages 25-45, tech-savvy). Industries: Software development and IT services. Geographic: Global with heavy concentration in US, Europe. Estimated market: DevTools TAM ~$15B, AI coding/observability SAM ~$2B, SOM for this niche ~$100M. Core pains: Lack of transparency in AI coding outputs and missed learning opportunities. High willingness to pay for productivity gains (currently offered free).
Medium. Direct competitors: 1. LangSmith (smith.langchain.com), 2. Helicone (helicone.ai), 3. Phoenix by Arize (arize.com/phoenix), 4. Weights & Biases (wandb.ai). Advantages: Hyper-focused on Claude/Codex code sessions with actionable recursive improvement tips and team sharing; completely free. Disadvantages: Narrower scope than general LLM observability platforms, potentially less enterprise features or integrations compared to established players.
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