WeSearch

Handoff Debt: The Rediscovery Cost When Coding Agents Take Over Interrupted Tasks

·2 min read · 0 reactions · 0 comments · 42 views
#artificial intelligence#coding#software development
Handoff Debt: The Rediscovery Cost When Coding Agents Take Over Interrupted Tasks
TL;DR · WeSearch summary

The paper discusses the concept of 'handoff debt' in coding tasks where agents take over interrupted work. It evaluates how the efficiency of successor agents can be improved by providing different levels of context during task handoffs. The findings suggest that better handoff practices can significantly reduce the rediscovery costs for agents resuming tasks.

Key facts
About this source

arXiv cs.AI files mainly under ai research. We currently carry 1,128 of its stories.

Original article
arXiv cs.AI
Read full at arXiv cs.AI →
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →

Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherarXiv cs.AI
Canonical URLhttps://arxiv.org/abs/2606.02875
Publication timeWed, 03 Jun 2026 00:00:00 -0400
Retrieval time2026-06-03T04:11:55.408Z
Last seen2026-06-03T04:11:55.408Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusteryGv5MZOwNvlC
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Computer Science > Artificial Intelligence arXiv:2606.02875 (cs) [Submitted on 1 Jun 2026] Title:Handoff Debt: The Rediscovery Cost When Coding Agents Take Over Interrupted Tasks Authors:Dipesh KC, Anjila Budathoki View a PDF of the paper titled Handoff Debt: The Rediscovery Cost When Coding Agents Take Over Interrupted Tasks, by Dipesh KC and 1 other authors View PDF HTML (experimental) Abstract:Coding-agent benchmarks evaluate whether a single uninterrupted agent can resolve a repository issue. Real software work is messier: tasks are interrupted, reassigned, reviewed, and resumed from partial states left by another agent or engineer. We study this missing dimension through \emph{handoff debt}: the rediscovery cost imposed when a predecessor's work is opaque or incomplete.

Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.

Anonymous · no account needed
Share 𝕏 Facebook Reddit LinkedIn Threads WhatsApp Bluesky Mastodon Email

Discussion

0 comments

More from arXiv cs.AI