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A scrappy, agentic IDE for scientists
A live demonstration of a unified IDE that merges literature review, numeric experiments, and reporting, using AI agents to manage PDFs, tables, images, and code.
IDEs like VSCode, Pycharm and now AI-driven tools like Cursor, Windsurf etc. make developers much more productive -> because they bring together all the tools, connections and context to one platform and with an intuitive design make programming easy and enjoyable.
Scientists (and everyone working with scientific literature) deserve something like this: a single place where they can do there literature review, run their (numeric) experiments and write up their results - accelerated by AI (agents). I built a small prototype around this vision and want to present it in a quick demo.
newtonic.ai: An agentic IDE automating scientific development workflows for scientists.
- LangGraphA low-level orchestration framework for building long-running, stateful, and cyclic multi-agent systems using a graph-based architecture.LangGraph is the specialized, low-level runtime for developing complex AI agents, extending the LangChain ecosystem to handle intricate, stateful workflows. It models the agent's logic as a directed graph: nodes represent actions (LLM calls, tool use), and conditional edges dictate the flow, enabling critical features like cycles (loops) for iterative reasoning. This graph-based approach ensures durable execution, allowing agents to persist through failures and resume operations. Key capabilities include comprehensive memory management via a shared state object and built-in human-in-the-loop functionality (interrupts) for external oversight. This robust framework is trusted by production teams at companies like Klarna and Replit for deploying scalable, resilient agent architectures.
- GrobidGrobid (GeneRation Of BIbliographic Data) is a machine learning library that extracts, parses, and re-structures raw scientific PDF documents into structured XML/TEI.Grobid is a robust, open-source machine learning library (Apache 2 License) specialized in converting unstructured PDF-based scientific and technical publications into structured TEI/XML. The system uses a cascade of sequence labeling models, including Conditional Random Fields (CRF) and Deep Learning (like BERT-CRF), to identify and parse over 55 fine-grained structures: title, authors, affiliations, abstract, full-text body, and reference citations. It delivers high accuracy, such as an F1-score of around 0.87 for reference extraction on independent datasets. Major institutions like ResearchGate, Academia.edu, and the European Patent Office leverage Grobid for large-scale document ingestion, demonstrating its production readiness and scalability (e.g., processing 4,000 PDFs in approximately 26 minutes).
- SemanticScholar APIAccess the Semantic Scholar Academic Graph (S2AG) to find and explore scientific publication data: papers, authors, citations, and venues.The Semantic Scholar API is your direct pipeline to scholarly data, organized across three core services. Use the Academic Graph API (AG) to fetch rich paper and author data, including SPECTER2 embeddings and citation counts. Leverage the Recommendations API for machine-learning-powered paper suggestions based on a given seed list. Finally, the Datasets API provides downloadable links for the full Academic Graph datasets. Authentication is simple: most endpoints are public (rate-limited to 1,000 requests per second across unauthenticated users), but we strongly recommend an API key for a dedicated 1 RPS rate limit and better support.
- PythonPython: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.Python is the high-level, general-purpose language prioritizing clear, readable syntax (via significant indentation), ensuring rapid development for any team . Its ecosystem is massive: use it for robust web development with frameworks like Django and Flask, or leverage its power in data science with libraries such as Pandas and NumPy . The Python Package Index (PyPI) provides thousands of community-contributed modules, offering immediate solutions for tasks from network programming to GUI creation . The language is actively maintained by the Python Software Foundation (PSF), with the stable release currently at Python 3.14.0 (as of November 2025) .
- OpenAI APIOpenAI API: Your direct gateway to cutting-edge AI models (GPT-4o, DALL-E 3, Whisper), enabling scalable, multimodal intelligence integration into any application.The OpenAI API provides authenticated, programmatic access to a powerful suite of generative AI models. Developers leverage REST endpoints and official libraries (Python, Node.js) to integrate capabilities like advanced text generation (GPT-4o), image creation (DALL-E 3), and speech-to-text transcription (Whisper). This platform is engineered for scale, supporting millions of daily requests for tasks from complex reasoning to real-time customer support agents, ensuring your application gets reliable, state-of-the-art intelligence.
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