mlsanityData to 14 Oct 2026

AgenticTyper: Automated Typing of Legacy Software Projects Using Agentic AI

arXiv 2602.21251 ↗First posted 21 Feb 2026cs.SE cs.AI cs.MAcited by 2

On the map: LLM agents and tool use → Software engineering coding agents

Abstract (arXiv)

Legacy JavaScript systems lack type safety, making maintenance risky. While TypeScript can help, manually adding types is expensive. Previous automated typing research focuses on type inference but rarely addresses type checking setup, definition generation, bug identification, or behavioral correctness at repository scale. We present AgenticTyper, a Large Language Model (LLM)-based agentic system that addresses these gaps through iterative error correction and behavior preservation via transpilation comparison. Evaluation on two proprietary repositories (81K LOC) shows that AgenticTyper resolves all 633 initial type errors in 20 minutes, reducing manual effort from one working day.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 9 of its 39 references that are in the map. First posted on arXiv 21 Feb 2026.

Builds on

9 of 39 references.

Closest ancestors · 1

Same direction, newest first

  1. 2024RepairAgent: An Autonomous, LLM-Based Agent for Program Repair25 Mar

Other references · 8

  1. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,439
  2. 2019TypeWriter: Neural Type Prediction with Search-based Validationcited by 32
  3. 2023Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errorscited by 22
  4. 2020OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraintscited by 14
  5. 2024PyTy: Repairing Static Type Errors in Pythoncited by 10
  6. 2023Do Machine Learning Models Produce TypeScript Types That Type Check?cited by 6
  7. 2023Type Prediction With Program Decomposition and Fill-in-the-Type Trainingcited by 6
  8. 2025CodeCureAgent: Automatic Classification and Repair of Static Analysis Warningscited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026From Question Answering to Task Completion: A Survey on Agent System and Harness Designcited by 12
  2. 2026SDAD: Spec-Driven Agentic Development for the AI-Native SDLCcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026Mining Type Constructs Using Patterns in AI-Generated Code ↗
  2. 2026When Agents Fail: A Comprehensive Study of Bugs in LLM Agents with Automated Labeling
  3. 2025BabelCoder: Agentic Code Translation with Specification Alignment
  4. 2025TypePilot: Leveraging the Scala Type System for Secure LLM-generated Code
  5. 2026SelfHeal: Empirical Fix Pattern Analysis and Bug Repair in LLM Agents
  6. 2024An Empirical Evaluation of Pre-trained Large Language Models for Repairing Declarative Formal Specifications
  7. 2026SmartOracle -- An Agentic Approach to Mitigate Noise in Differential Oracles
  8. 2026Understanding Bugs in Modern Agentic Frameworks: A Study of Symptoms, Root Causes, and Triggering Conditions