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Claim LD04-SL-C08 (v1.0)

A 2026 meta-analysis of 23 programming studies found an overall productivity effect of g = 0.33, large in controlled experiments (g = 0.73) but not distinguishable from zero in enterprise or open-source settings, and no significant effect on learning (g = 0.14).

Provenance and status

Claim type
ESTIMATE (as printed: “ESTIMATE”)
Publication status
ELIGIBLE (PREPRINT) (as printed: “ELIGIBLE WITH PREPRINT QUALIFIER”)
Verification state
CONTENT_VERIFIED_PRIMARY (PREPRINT) (as printed: “CONTENT VERIFIED PREPRINT”; verified by: UNKNOWN)
Does not license
Conclusions about who gains; the meta-analysis does not test skill as a moderator
Source (field 6, as printed)
Maier, Gunzenhäuser, Schweisthal, Schneider & Feuerriegel, “A meta-analysis of the effect of generative AI on productivity and learning in programming,” arXiv:2605.04779, May 2026
Source type (field 7)
SYSTEMATIC_REVIEW_OR_META_ANALYSIS, PREPRINT (as printed: “Preprint”)
Institutional position
Independent academic
Maturity (claim evidence / publication maturity)
EMERGING (as printed: “EMERGING”)
Recorded date
2026-10-14
Currentness / correction
This is the current version. No correction or concern relation is recorded on its Sources.

Version

Pinned version v1.0 (entry LD04-SL-C08--v1.0) — this page never floats to newer evidence.

This pinned version is also the current version.

Versions:v1.0 · current

Pinned Sources (field 6, version-specific)

All 25 canonical Claim fields (raw values and normalized values)
#Canonical fieldCanonical value (verbatim)Normalized (Claim Value Vocabulary v1.0.2)
1CLAIM IDLD04-SL-C08—
2PUBLIC-FACING CLAIMA 2026 meta-analysis of 23 programming studies found an overall productivity effect of g = 0.33, large in controlled experiments (g = 0.73) but not distinguishable from zero in enterprise or open-source settings, and no significant effect on learning (g = 0.14).—
3CLAIM TYPEESTIMATEbase_types: ESTIMATE
4RESEARCH STRANDA — Performance while the tool is in use—
5MATURITYEMERGINGstates: EMERGING
6SOURCEMaier, Gunzenhäuser, Schweisthal, Schneider & Feuerriegel, “A meta-analysis of the effect of generative AI on productivity and learning in programming,” arXiv:2605.04779, May 2026source_ids: SRC-SL-MAIER-ET-AL-ARXIV-2605-04779
7SOURCE TYPEPreprintclasses: SYSTEMATIC_REVIEW_OR_META_ANALYSIS, PREPRINT
8INSTITUTIONAL POSITIONIndependent academic—
9SCOPEProgramming studies from 2019 to 2025—
10DESIGNMeta-analysis with risk-of-bias assessment (RoB 2, ROBINS-I)—
11SAMPLE / DATASET23 studies, 27 effect sizes—
12MODEL / TOOL / VERSIONVarious generative-AI coding tools—
13COMPARATORProgramming without generative AI—
14MAIN RESULTProductivity g = 0.33 (95% CI 0.09–0.58); controlled experiments g = 0.73 (p < 0.001); enterprise g = 0.19 (p = 0.45); open-source not distinguishable from zero; learning g = 0.14 (95% CI −0.18 to 0.47)—
15INFERENTIAL TARGETPooled effects on programming productivity and learning by setting—
16DOES NOT LICENSEConclusions about who gains; the meta-analysis does not test skill as a moderator—
17VERIFICATION STATECONTENT VERIFIED PREPRINTstate: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN
18LIMITATIONSPreprint; few studies per setting; heterogeneous outcome measures—
19CONTRADICTORY / SUPPORTING SOURCESSuggests that lab compression results may not carry over to deployments—
20GEOGRAPHY / LANGUAGENot checked / English—
21DISTRIBUTIONAL LEDGERNot assessed—
22R01 / FIELD-MAP LINKSLD-04, D2—
23WHAT WOULD CHANGE THIS CLAIM?Peer review, or newer field studies that change the setting-specific estimates—
24PUBLICATION STATUSELIGIBLE WITH PREPRINT QUALIFIERstate: ELIGIBLE · qualifiers: PREPRINT
25RECORDED DATE2026-10-14—

Field 22 references resolved against Field Map v0.2: LD-04 (LIVING_DEBATE); D2 (DOMAIN)

Cited by Living Debate versions

Research-of-record provenance

Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 6b5d86656b75faea25b7d52d2bf51ac0aaf574186d5630bdf9039a2233030b5b.

Repository-authored inputs (not Drive exports)

  • SocioLens claim — LD04-SL-C08 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-14; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 14 October 2026 to build the LD-04 debate; a new Claim, first version, written from the project's LD-04 source notes, checked against full texts or official abstracts. Block “ENTRY 08 — LD04-SL-C08” SHA-256 8fb89ed2f8dd657e8e631004ccbd92c9d479fbe5fc1fcab46d484e12f69cc59c; fixture fixtures/authored/claims/LD04-SL-C08--v1.0.

Builder decisions (not Drive data)

  • VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD04-SL-C08 v1.0); the first version of a new Claim of the LD-04 debate
  • CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD04-SL-C08 v1.0" (Project Lead (Claude, AI), 2026-10-14); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 14 October 2026 to build the LD-04 debate; a new Claim, first version, written from the project's LD-04 source notes, checked against full texts or official abstracts
  • FIELD_6_SOURCE_REFERENCE = SRC-SL-MAIER-ET-AL-ARXIV-2605-04779--v1.0 — basis: field 6 of ENTRY 08 — LD04-SL-C08 cites "Maier, Gunzenhäuser, Schweisthal, Schneider & Feuerriegel, “A meta-analysis of the effect of generative AI on productivity and learning in programming,” arXiv:2605.04779, May 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
  • SOURCE_PROVENANCE_PIN = SRC-SL-MAIER-ET-AL-ARXIV-2605-04779--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Maier, Gunzenhäuser, Schweisthal, Schneider & Feuerriegel, “A meta-analysis of the effect of generative AI on productivity and learning in programming,” arXiv:2605.04779, May 2026".