Claude Code helps discover a hidden exoplanet
According to TheRundownAI, Pavel Rabtsevich used Claude Code and Codex to flag a planet NASA software missed; NASA will monitor it with TESS in November.
Source: Blockchain News · October 8, 2026 at 9:32 PM · AI-assisted report
Single-source
KUALA LUMPUR, 9 OCTOBER 2026 —
KUALA LUMPUR, Oct 8 (Reuters) – Independent researcher Pavel Rabtsevich used the AI coding assistants Claude Code and Codex to flag an exoplanet that NASA’s own software had missed, prompting the agency to schedule targeted observations with the TESS telescope during its November viewing window.
Market Impact
The discovery, reported by The Rundown AI, illustrates how generative‑AI tools can accelerate astronomical research by enabling rapid development and debugging of custom analysis scripts, thereby uncovering signals that conventional pipelines overlook.
According to The Rundown AI, Rabtsevich fed transit data from NASA’s Kepler and TESS archives into Claude Code and Codex, which generated Python code that employed libraries such as lightkurve and astropy. The AI‑produced scripts performed additional detrending and periodicity searches beyond standard pipelines, revealing a subtle transit signal that had previously been dismissed as noise or an instrumental artifact.
The same source notes that generative‑AI models are reshaping how scientists sift through vast light‑curve datasets, shortening iteration cycles from weeks to hours and allowing researchers to test multiple detection thresholds quickly. It adds that users can fine‑tune prompts to direct the models to produce domain‑specific code, while statistical rigour and false‑positive mitigation are addressed through cross‑validation against multiple datasets and peer‑review processes.
Companies developing AI platforms for scientific computing stand to benefit, The Rundown AI says, as demand grows for specialised astronomy modules. Potential monetisation routes include subscription access to curated datasets, premium model fine‑tuning services and partnerships with observatories seeking faster analysis turnaround. The report also highlights regulatory considerations around NASA data‑sharing agreements and open‑science mandates, and stresses ethical best practices such as transparent disclosure of AI contributions in published findings.
NASA will conduct targeted monitoring of the host star during the November TESS pass to confirm the transit and gather additional data for characterisation, according to the agency’s schedule. The episode shows a broader shift toward hybrid human‑AI workflows that could multiply the rate of exoplanet confirmations, lower research costs and open frontier science to independent investigators worldwide, including those in the Malaysian and wider Southeast Asian tech ecosystems.
Related: Kuala Lumpur