Spotlight by Backplanes is an AI code session report tool that provides unparalleled visibility into what your Claude Code and Codex agents actually do during their runs. This category-defining product helps developers understand every action taken by their coding assistant, from file modifications to system calls, enabling recursive improvement of both the agent's behavior and the developer's workflow. Designed for individual developers and teams who rely on AI coding assistants, Spotlight offers free, automated session analysis with local privacy safeguards. Its core value lies in transforming invisible agent activity into actionable insights, allowing developers to debug, refine, and trust their automated processes more effectively. By shining a light on each session, Spotlight turns opaque AI operations into transparent, reviewable records that drive continuous improvement.
The primary problem Spotlight solves is the invisibility of AI coding agent behavior during prolonged or unattended sessions. When a Claude Code or Codex agent runs for 47 minutes while a developer is in a meeting, the developer has no idea what was done, what succeeded, what failed, or whether any actions violated security boundaries. This lack of insight leads to wasted time re-checking work, missed bugs, and uncertainty about the agent's reliability. Spotlight addresses this by automatically capturing and analyzing every session after it ends, presenting a clear report that separates critical issues from routine operations. This matters because it allows developers to maintain confidence in their AI tools, quickly identify and fix mistakes, and gradually train their agents to follow better practices—all without sacrificing privacy or requiring manual logging.
The first major feature group is auto-capture with local redaction. Spotlight installs as a simple CLI tool via a single curl command, compatible with macOS, Linux, and WSL 2. After authentication through the browser and creation of a team account, the CLI automatically captures sessions as they finish—no manual triggers needed. Crucially, local redaction strips personally identifiable information (PII) and credentials from session data before anything leaves the developer's laptop. This ensures that sensitive information never reaches external servers, addressing a core concern for security-conscious teams. The auto-capture mechanism means developers stay in flow, never having to remember to start or stop logging. The local redaction feature builds trust by guaranteeing that confidential data remains under the developer's control, while still allowing the session intelligence to be shared with the team for collaborative improvement.
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The second major feature group is the session report categorization into “Needs review” and “Business as usual.” Each completed session is analyzed and tagged with a status and a brief reason. For example, the report for a password-reset-flow session might flag that the agent opened /etc/passwd outside the task scope, placing it in “Needs review.” In contrast, an auth-refresh-token session might be marked “Clean refresh, signature verified” under “Business as usual.” This intelligent categorization saves developers enormous time by surfacing only the sessions that require immediate attention, while allowing routine, safe operations to be acknowledged and quickly dismissed. The reports also include specific action summaries and notes, giving the developer enough context to decide whether to dive deeper. This feature transforms a raw log of thousands of commands into a concise, actionable dashboard that prioritizes what matters most.
The third feature group covers integration and ease of use. Spotlight operates entirely outside of the AI assistant APIs—it does not require OAuth tokens into Anthropic or OpenAI, nor does it need special API permissions. Instead, the CLI reads session data locally after the session ends, making it non-invasive and compatible with existing security policies. The product is built by leaders and practitioners from notable technology companies including Google, Twilio, ngrok, and Algolia, reflecting deep experience in building developer tools at scale. This background ensures that Spotlight respects developer workflows and does not introduce friction. Furthermore, the tool is free for individuals and teams, with no seat limits or trial clocks, lowering the barrier to adoption. For enterprise rollouts requiring attribution, volume controls, or specific compliance features, the team offers custom setups upon discussion.
Overall, Spotlight works through a straightforward three-step workflow. First, the developer installs the CLI and completes a one-time browser authentication that creates a team account. Second, as they work with Claude Code or Codex, Spotlight automatically captures each session upon completion, applying local redaction to strip PII and credentials. Third, the captured sessions are processed into reports that appear on the Spotlight dashboard, organized by whether they need review or are business as usual. The developer can then quickly scan these reports, focus on flagged items, and gain insights into their agent's behavior. This workflow is designed to be invisible—the developer keeps coding, and Spotlight runs in the background, only surfacing when there is something worth knowing. Over time, Backplanes aims to extend this visibility to all agents across the organization, turning isolated session reports into a comprehensive oversight platform.
Concrete use cases emerge from the examples provided on the website. Consider a developer running a database migration: during a migrate-pg-v14 session, the agent performs the migration and Spotlight reports “Migration ran clean, no schema drift,” giving the developer confidence to move forward without manual verification. Another scenario involves security-sensitive operations: in a password-reset-flow session, the agent opens /etc/passwd outside its task scope, and Spotlight flags this for review, prompting the developer to correct the agent's behavior. For routine tasks like auth-refresh-token or ux-onboarding-tweak, Spotlight confirms expected behavior and allows quick dismissal. These outcomes save hours of manual log inspection, reduce the risk of overlooked errors, and enable developers to iteratively improve their agent prompts and constraints. The result is a faster, safer development cycle with higher trust in AI-assisted coding.
Spotlight targets individual developers and teams who actively use Claude Code or Codex as coding assistants, particularly those who work on complex projects with long or unattended agent sessions. It runs on macOS, Linux, and Windows Subsystem for Linux 2 (WSL 2), covering the primary development platforms. The product is free for individuals and teams with no seat limits, making it accessible to startups, open-source projects, and enterprise teams alike. For larger organizations requiring advanced attribution, usage volume analytics, or specific compliance controls, Backplanes offers tailored enterprise configurations. The team behind Spotlight includes veterans from Google, Twilio, ngrok, and Algolia, ensuring enterprise-grade reliability and developer-friendly design. Ultimately, Spotlight provides the visibility and oversight that modern AI-assisted development desperately needs, turning the invisible work of coding agents into a transparent, improvable process that makes every session a learning opportunity.
Spotlight is designed for individual software developers and engineering teams who rely on AI coding assistants like Claude Code and Codex. It is particularly valuable for developers working on complex codebases where agent sessions can run long or unattended, such as during migrations, refactors, or automated testing. Team leads and DevOps engineers who need to audit agent behavior for security or compliance will also benefit. The tool targets users on macOS, Linux, or WSL 2, and is free for both solo practitioners and collaborative teams. Early-stage startups, enterprise teams, and open-source contributors alike can use Spotlight to gain transparency into AI-driven workflows and accelerate iterative improvement.