Every paper checked — nothing hidden

All papers

Every paper checked in the week of 12–18 Oct 2026 · LLMs for code — nothing is hidden. Brief papers first.

PaperTopicRelevanceFeedback
Scaling Agentic Data for Long-Horizon Terminal Intelligence
Introduces a synthetic data generation framework to produce long-horizon task trajectories for terminal agents.
Ranked #61New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:28
On-topic
Focuses on terminal commands and code-level execution in software environments.
ReTerm: Recovery Training for Self-Improving Terminal Agents
The authors present a training framework and dataset that enables terminal coding agents to self-improve by recovering from execution errors.
Ranked #62New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Focuses on terminal agents performing complex coding tasks and software execution.
AutoEnvScaling: Automating the Data Flywheel with Terminal Agents
The paper presents AutoEnvScaling, using terminal agents to automatically generate reinforcement learning environments from model rollouts.
Ranked #63New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:18
On-topic
Terminal agents execute commands to solve software engineering and coding tasks.
Cortex: Measurement-Gated Evolution and Pruning of Coding-Agent Skills and Rules
The authors develop a system that systematically tests, evolves, and prunes skill and rule files used by coding agents.
Ranked #64New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Automates the evolution and pruning of coding-agent skills and rules across software tasks.
Returning to Development States: When Full Sandbox Snapshots Help Coding Agents
Evaluates full sandbox snapshot exploration for coding agents, finding benefits primarily when recovery requires restoring runtime dependencies outside Git repositories.
Ranked #65Surprising resultPreprint6/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:29
On-topic
Directly focuses on state restoration and sandbox snapshots to improve autonomous coding agents on software tasks.
Long Text to Predictive Features: LLM-Guided Blockwise Feature Engineering via Executable Program Search
Presents a framework that uses language models offline to generate executable feature-engineering code for tabular risk models.
Ranked #66New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:28
On-topic
Proposes an LLM-guided system that writes and executes programs for automated feature engineering.
Leakage-Resistant Evaluation of AI-Generated Database Specifications in Specification-Driven Migration
Evaluates LLM judges assessing AI-generated database specifications against trivial baselines using a leakage-resistant benchmark.
Ranked #67Surprising resultPreprint6/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:29
On-topic
Benchmarks LLM judges evaluating AI-generated database specifications in software migration.
Cadence: Strategic Guidance for Coding Agents
Introduces a dynamic monitoring framework that adaptively schedules runtime inspections and intervention guidance for coding agents.
Ranked #68New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:29
On-topic
Proposes a runtime monitoring and intervention framework specifically for LLM coding agents solving SWE tasks.
SEAR: Self-Evolving Agentic Robotics
The paper presents a framework and benchmark to evaluate whether self-evolving robotic agents genuinely learn reusable skills across tasks.
Ranked #69New testPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Examines LLMs generating, testing, and retaining robot control code.
The Last Remote Sensing Model Built by Humans? Casting Any Earth Observation Task as Recursive Self-Improvement
This paper frames Earth observation model development as an automated loop where coding agents build and iteratively refine models using verifiable harnesses.
Ranked #70New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Demonstrates general-purpose coding agents implementing and refining machine learning software recipes.
StateHarness: Maintaining Evolving Project State for Long-Horizon Coding Agents
The paper presents a runtime framework that tracks evolving repository state and dependencies to assist long-horizon coding agents.
Ranked #71New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Directly targets long-horizon software engineering agents maintaining repository context and edits.
Knowledge Graphs as Files: An Agent Harness Where Tool Creation and Tool Use Co-Evolve
This paper proposes a system where language model agents write code to create and refine tools directly over raw knowledge-graph files.
Ranked #72New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Agents write and revise Python code to create custom tools and query databases.
The Last Mile of Coding Agents for Long-Document Tasks: An Empirical Study on Clinical Trial Protocol Digitization
Introduces a benchmark evaluating how reliably software coding agents extract and digitize complex unstructured clinical trial protocol documents.
Ranked #73New testPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Evaluates coding agents across five harnesses on automated PDF digitization and structured code execution.
SCCGBench: Executability-Oriented Evaluation for Real-World Web Service-Call Code Generation
Introduces an execution-grounded benchmark to evaluate code generation for real-world web service and API calls across multiple models.
Ranked #74New testPreprint6/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:29
On-topic
Proposes a benchmark evaluating code LLMs on generating executable web service-call code.
Re-executing Coding-Agent Evaluations: Unchanged Decisions and Unresolved Policy Risk
The paper re-evaluates coding-agent benchmark results to measure sensitivity to test execution environments and grading configurations.
Ranked #75Surprising resultPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:18
On-topic
Re-executes evaluations of coding-agent patches on SWE-bench.
Agent4Spec: An LLM-based Agentic System to Optimize API Specifications through Automated Validation and Market Analysis
Presents Agent4Spec, a multi-agent framework that automatically validates OpenAPI syntax errors and identifies functional API gaps through market analysis.
Ranked #76New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:28
On-topic
Focuses on validating, maintaining, and generating OpenAPI code and endpoint specifications.
OnTrack: Real-Time Monitoring and Intervention in LLM Agent Trajectories via Streaming Structure-Aware Optimal Transport
Proposes a streaming optimal transport method to monitor LLM agent trajectories in real time against reference runs.
Ranked #77New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:28
On-topic
Evaluates real-time trajectory intervention specifically on software engineering agents in SWE-bench.
Forms of LLM-Integrated Applications from LLM-Chats to Autonomous AI Agent System
Surveys and taxonomizes recurring architectural patterns across language-model-integrated software applications, ranging from chatbots to autonomous agent systems.
Ranked #78New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:28
On-topic
Analyzes the shared architectures and execution loops of coding agents from major providers.
Trajectory-Guided Fault Localization for Agent Skill Evolution
Proposes a method linking execution traces to specific skill segments to guide automated revision of software engineering agent skills.
Ranked #79New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:28
On-topic
Focuses explicitly on refining skills and execution guidance for software engineering code agents.
Not All Correct Fixes Run Alike: An Empirical Study of Patch Performance in Repository-Level Issue Resolution
The paper analyzes the runtime performance differences of test-passing issue resolution patches generated by language models on SWE-bench.
Ranked #80New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:28
On-topic
Evaluates the runtime performance of LLM-generated code patches for repository-level issues.
MAP4CS: A Multi-dimensional Data Pruning Framework for Efficient Code Retriever Fine-tuning
Presents a multi-dimensional data pruning framework that filters code repositories by syntax, diversity, and representation for efficient retriever fine-tuning.
Ranked #81Surprising resultPreprint6/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:28
On-topic
Improves code retriever fine-tuning for software engineering RAG systems.
Deleting Code Without Losing Knowledge: Regenerative Software for Python Libraries
Applies regenerative software primitives so programs can be deleted and rebuilt by agents without losing architectural intent and knowledge.
Ranked #82New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Studies agent-driven code generation, regeneration bundles, and repository maintenance.
LLM-based Code Auditing by Inferring and Evaluating Developer Assumptions
The paper presents a code auditing method that uses language models to infer developer beliefs and flag contradictions as potential vulnerabilities.
Ranked #83New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:18
On-topic
Uses LLMs to analyze code and detect software vulnerabilities by inferring developer assumptions.
CodeLift: Your Test Suite Is Secretly a Dense SWE Curriculum
This paper introduces a reinforcement learning method that calibrates test pass-rate rewards to create adaptive training curricula for software engineering agents.
Ranked #84New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:18
On-topic
Introduces an RL reward method using test suites to train software engineering coding agents.
SPROUT: Scaling Agentic Reinforcement Learning for Long-Horizon Software Engineering
The paper presents SPROUT, a snapshot-based rollout framework to scale reinforcement learning for long-horizon software engineering tasks.
Ranked #85Surprising resultPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:18
On-topic
Scales reinforcement learning for long-horizon software engineering agents.
Diagnosing Generalization Boundaries in AI-Based Vulnerability Detection via Calibrated Embedding Distances
The paper evaluates embedding distance metrics to detect generalization boundaries and distribution shifts in AI-based code vulnerability models.
Ranked #86New testPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:18
On-topic
Evaluates code models like CodeBERT and Qwen-Coder on software vulnerability detection.
Does Failure Feedback Direct Agent Self-Modification?
Evaluates whether failure feedback helps self-improving agents fix specific target bugs rather than general errors.
Ranked #87Surprising resultPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:18
On-topic
Analyzes how failure feedback directs automated code and prompt self-modification in coding agents.
State-Aware Generation of Deployable Websites from Visual Prototypes and Requirements
The paper introduces a graph framework to maintain consistency across visual elements, workflows, and code when generating websites from prototypes.
Ranked #88New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:19
On-topic
Presents a method for multimodal models to generate full-stack deployable code from prototypes and requirements.
Reviewing Beyond the Change: Repository Size and Existing Code Across Agent and Human Pull Requests
The paper studies how often human and agent pull request reviews reference existing repository code outside the submitted change.
Ranked #89Surprising resultPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:19
On-topic
Analyzes how human reviewers interact with code generated by software engineering AI agents.
Executable but Unfaithful: Mock Object, Stub, and Assertion Generation by LLMs and Coding Agents
The paper introduces a benchmark to evaluate how accurately language models and coding agents generate mock objects, stubs, and assertions.
Ranked #90New testPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:19
On-topic
Evaluates LLMs and coding agents on generating software mocks and stubs.
Rethinking SZZ Search Strategies: Lessons from Claude Code
The paper studies whether flexible search strategies used by coding agents improve the identification of commits that introduce software bugs.
Ranked #91Surprising resultPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:19
On-topic
Analyzes Claude Code's repository search strategies for bug-inducing commit identification.
Agentic Evolution of SQL Test Generators
The authors use coding agents and execution validation to add new database dialect features into reusable database test generators.
Ranked #92New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:19
On-topic
Uses coding agents with witness replay to evolve DBMS test generators.
LLMs program using Reusable and Composable Abstract Representations
The paper demonstrates that language models use modular abstract representations to generalize code generation across different programming languages and strategies.
Ranked #93New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 15:06
On-topic
Investigates abstract, reusable representations in LLMs during code generation and cross-language transfer.
SWE-Nexus: Automated Composition of Software Engineering Tasks from Test Execution
The paper introduces an automated pipeline that builds repository-level software engineering benchmarks from test execution footprints.
Ranked #94New testPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 15:06
On-topic
Constructs repository-level software engineering benchmarks from test execution.
The Code of Theseus: Can Agents Rebuild Software from Recovered Design Documents?
The paper extracts software requirements and architecture from code repositories and tests whether language agents can reconstruct projects from them.
Ranked #95New testPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 15:07
On-topic
Evaluates coding agents rebuilding software from recovered design artefacts and requirements.
OS-Bench: Evaluating SWE Agents on Cross-OS Code Migration
This paper introduces a benchmark to evaluate software engineering language agents on migrating code between Linux and Windows.
Ranked #96New testPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 15:07
On-topic
Introduces a benchmark evaluating software engineering agents on cross-OS code migration.
When Is RTL Better? Auditing Evaluation Stability with Tool-Grounded Requirement Profiles
The authors introduce tool-grounded requirement profiles to audit and stabilize how register-transfer-level code generation is evaluated.
Ranked #97New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:19
On-topic
Audits evaluation stability and requirements enforcement for automated register-transfer level code generation.
claimcheck: Measuring and Improving Specification Faithfulness
The paper presents a benchmark to evaluate whether formal specifications generated by language models accurately reflect natural-language requirements.
Ranked #98New testPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Evaluates LLMs formalizing requirements into code and formal specifications.
Small but Mighty: Test Suites as Improvement Signals for Self-Evolving Agents
The paper presents an evolutionary search method that generates small, high-quality test suites to verify code rewrites in self-evolving agents.
Ranked #99New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Focuses on generating test suites to verify and repair code written by models.
SpecForge: Recursive Self-Improvement for Coding Agents via Behavioral Specifications
The paper presents a self-improvement method where coding agents refine natural-language behavioral specifications using execution-verified tests.
Ranked #100New way to see a problemPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Enhances coding agents through recursive self-improvement using behavioral code specifications.
PrismaCoder: Pushing the Boundaries of Open Multimodal Code Intelligence through Decomposed Rubric Synthesis
Introduces a decomposed rubric synthesis method to create training data for open multimodal models that generate visual code artifacts.
Ranked #101New testPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 15:06
On-topic
Develops multimodal code generation for visual web artifacts and code.
DivAlgo: A systematic evaluation of algorithmic diversity for code generation models
The paper introduces a benchmark and similarity metric to measure the algorithmic diversity of solutions produced by code generation models.
Ranked #102Surprising resultPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 15:06
On-topic
Introduces a benchmark evaluating LLM competence and algorithmic diversity in code generation.
HERO: Harnessing Evidence for Test-time Refinement and Prompt Optimization in Program Generation
The paper proposes a method combining offline execution-verified prompt updates and test-time refinement to improve program generation in language models.
Ranked #103Surprising resultPreprint6/10 suggested
LLMs for code
via arxiv · 15 Oct, 15:06
On-topic
Optimizes prompts and refines code generation for SQL, Cypher, and Python.
HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills
The authors introduce a multi-platform benchmark to measure the performance and tool efficacy of code-optimizing agents on high-performance computing kernels.
Ranked #104New testPreprint6/10 suggested
LLMs for code
via arxiv · 17 Oct, 06:19
On-topic
Presents a sound benchmark framework for code-optimizing agents across hardware targets.
Benchmarking and Enhancing Design-Aware Code Review in the Linux Kernel
The paper presents a knowledge-augmented framework and benchmark to help automated code review account for historical software design decisions.
Ranked #105New testPreprint6/10 suggested
LLMs for code
via arxiv · 17 Oct, 06:19
On-topic
Introduces a benchmark and method for evaluating coding agents on kernel code review.
Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learning in a Long-Running Game Agent Competition
Introduces AAArena, a benchmark evaluating how AI agents revise executable code policies across 12 adversarial games under fixed budgets.
Ranked #106New testPreprint5/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:28
On-topic
Evaluates agents synthesizing, analyzing, and revising executable code policies across matches.
Natural Language to First-Order Logic LLM-based Autoformalization
The paper reviews LLM-based first-order logic autoformalization, distinguishing ontology extraction from logical translation and outlining key benchmarking challenges.
Ranked #107New way to see a problemPreprint5/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:28
On-topic
Surveys autoformalization translating natural language into formal logic programs and specifications.
A-SAW: The Agentic Software Architecture Workflow
Proposes an agentic workflow that drafts and maintains Architecture-as-Code documentation with mandatory human review gates in the IDE.
Ranked #108New way to see a problemPreprint5/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:29
On-topic
Presents an agentic workflow that drafts and maintains software architecture documentation alongside code.
Implementing the Spec Growth Engine: Preventing Spec-Code Divergence, and Growing the Spec with Agents
Describes the Spec Growth Engine, which uses deterministic validation and LLM agents to prevent specification-code divergence.
Ranked #109New way to see a problemPreprint5/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:29
On-topic
Develops an agentic engine where models author, plan, and code software specifications.
Reels-RSI: Program-Level Self-Improvement for Code-Rendered Explainer Videos
The paper introduces an open-source agent framework that improves code-rendered explainer videos through program-level debugging, static rules, and unit testing.
Ranked #110New way to see a problemPreprint5/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Enables code-generating agents to self-improve via program-level diffs and unit testing.
Evaluating Exact Output and Checkpoint-State Prediction in Real Programs
Evaluates language models on predicting program outputs and intermediate loop checkpoint states directly from source code and inputs.
Ranked #111New testPreprint5/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:28
On-topic
Evaluates language models on predicting program outputs and state transitions in Python and C++.
TileCas: Cascading Kernel Development Across Programming Abstractions
The paper presents an interface that lets coding agents navigate and edit multiple abstraction levels when generating accelerator kernels.
Ranked #112New way to see a problemPreprint5/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:19
On-topic
Introduces a multi-abstraction interface for coding agents generating GPU kernels.
Multidimensional Evaluation of LLM-Generated MPC Programs
The paper evaluates model-generated secure multi-party computation code across functional correctness, interface conformance, algorithm fidelity, and operational efficiency criteria.
Ranked #113New testPeer-reviewed5/10 suggested
LLMs for code
via acm · 16 Oct, 06:18
On-topic
Studies evaluation and multi-dimensional repair of LLM-generated secure computation code.
LASER: Defeasible Certificate Search for Long-Range Protocol Dependencies
The paper presents a certificate-based search method paired with a symbolic checker to resolve complex, distributed dependencies in protocol specifications.
Ranked #114New way to see a problemPreprint5/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Uses symbolic certificate verification to analyze and recover executable protocol specification dependencies.
Make Every Expansion Count: Learning to Search Efficiently in LLM Code Repair
The paper introduces a learned search policy that predicts required repair steps to prioritize code edits before generating and testing patches.
Ranked #115Surprising resultPreprint5/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Develops an efficient search policy specifically for automated LLM code repair.
Mission (Im)Possible: Towards Autonomous Discovery of Autopilot Logic Flaws in Open-Source Drone Frameworks
The authors present an approach using domain-informed language models to discover semantic logic flaws in open-source drone autopilot software.
Ranked #116New way to see a problemPreprint5/10 suggested
LLMs for code
via arxiv · 15 Oct, 15:06
On-topic
Uses multi-agent LLMs to inspect, test, and find logic flaws in autopilot code.
Causal Syntax Circuits in CodeLMs: Budget and Probe Decide What Looks Localised
This paper investigates internal model circuits and prompt properties that drive code language models to default to Python code output.
Ranked #117Surprising resultPreprint5/10 suggested
LLMs for code
via arxiv · 17 Oct, 06:18
On-topic
Analyzes internal circuit mechanisms underlying programming language preferences in code LLMs.
REINS: Agent-guided Thread Scheduling for Concurrency Bug Detection and Reproduction
Uses agentic reasoning over program concurrency semantics to steer thread scheduling and reproduce elusive concurrency bugs.
Ranked #118New way to see a problemPreprint4/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:29
On-topic
Uses an LLM agent reasoning over program semantics to detect and reproduce software concurrency bugs.
BRQGen: Towards Adaptive Completeness Assessment and Follow-Up Question Generation for Bug Reports
The paper proposes a framework that identifies missing information in bug reports and generates targeted follow-up questions only when needed.
Ranked #119New way to see a problemPreprint4/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:19
On-topic
Leverages LLMs to evaluate bug reports and iteratively generate follow-up questions for reproduction.
Aligning Faithfulness for Theory-Scale Autoformalization
The authors propose evaluating autoformalization faithfulness by aligning phrase-level correspondences between informal mathematics and formal code under contextual interpretations.
Ranked #120New testPreprint4/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Evaluates autoformalization translating natural language mathematics into formal code.
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