Did the agents actually ship it?
A database of real AI-coding-agent delivery stories, with timelines, costs, codebase type and caveats. Every number is quoted from its source; blank means the source didn't say.
18 stories
- Vendor-published Language migration brownfield
GitHub ports the Copilot agent runtime from TypeScript to 800K+ lines of Rust, mostly by one engineer
GitHub (Microsoft) · 2026-09-16
- 832,378 lines Production Rust written
- ~430,000 lines TypeScript passed through the port (author estimate)
- ~14.5 weeks Porting window
GitHub Copilot app, GitHub Copilot CLI
- Vendor-published Test migration brownfield
Asana finishes a five-year Enzyme → React Testing Library migration in two weeks with Codex
Asana · 2026-08-19
- ~2 weeks Calendar time
- ~1.5 weeks Engineering effort
- Up to 4 Parallel agents
OpenAI Codex
- Independent Research study
Harvard study of 718 firms: AI agents raise code volume but not shipped work, review becomes the bottleneck
718 firms (Jellyfish data) · 2026-08-04
- 718 Firms
- ~300 million Work events
- +30% Lines of code after agent adoption
AI coding agents (various), AI coding assistants (various)
- Independent Cost governance
Uber caps AI coding spend at $1,500 per employee per tool after burning its annual AI budget in 4 months
Uber · 2026-06-02
- $1,500 per employee, per tool Monthly cap
- 4 months Time to exhaust annual AI budget
Claude Code, Cursor
- Vendor-published Benchmark brownfield
Legacy-Bench: frontier agents pass only 16.9–42.5% of COBOL, Java 7 and Fortran tasks
Factory · 2026-04-01
- 16.9%–42.5% Pass rate range (12 model–agent combos)
- >70% Same models on Terminal-Bench 2 / SWE-bench Verified
- 42.5% Best overall (GPT-5.3-Codex)
Droid, Codex, Gemini CLI
- Independent Research study
METR's late-2025 follow-up: raw data hints at speed-up, but developers refusing to work without AI breaks the study
METR (57 open-source developers) · 2026-02-24
- 57 Developers
- 143 Repositories
- 800+ Tasks
AI coding tools (various, incl. agentic tools)
- Vendor-published Build optimization / defect remediation brownfield
Cisco uses Codex across 15+ repos to cut build times ~20% and speed up C/C++ defect fixing
Cisco · 2026-01
- 1,500+ per month Engineering hours saved
- ~20% reduction Build time
- 10–15× increase Defect resolution throughput
OpenAI Codex, Codex CLI
- Independent Research study brownfield
METR RCT: experienced open-source developers took 19% longer with early-2025 AI tools
METR (16 open-source developers) · 2025-07-10
- 16 Developers
- 246 Tasks
- 19% longer with AI Measured effect
Cursor, Claude 3.5/3.7 Sonnet
- Practitioner (own blog/paper) Test migration brownfield
Airbnb migrates ~3.5K Enzyme test files to React Testing Library in 6 weeks with LLMs
Airbnb · 2025-03
- ~3,500 Test files migrated
- 6 weeks Actual duration
- 1.5 years of engineering time Manual estimate
Frontier LLMs (unnamed)
- Practitioner (own blog/paper) Large-scale refactor brownfield
Google Ads uses LLMs to migrate 32-bit IDs to 64-bit in a 500M+ line codebase
Google · 2025-01
- 500M+ lines Codebase size
- 80% Code changes fully AI-authored (landed CLs)
- ~50% reduction (engineer-reported estimate) Total migration time
Gemini (fine-tuned, internal toolkit)
- Practitioner (own blog/paper) Test migration brownfield
Google migrates 5,359 test files from JUnit3 to JUnit4 in 3 months with LLMs
Google · 2025-01
- 5,359 Files migrated
- 149,000+ Lines modified
- 3 months Duration
Gemini (fine-tuned, internal toolkit)
- Practitioner (own blog/paper) Library migration brownfield
Google estimates ~89% time saved on Joda-Time → java.time migration clusters
Google · 2025-01
- ~89% Time saved on small clusters (estimate)
Gemini (fine-tuned, internal toolkit)
- Vendor-published Version upgrade brownfield
Amazon upgrades tens of thousands of production apps to Java 17 with Amazon Q Developer
Amazon · 2024-08-01
- Tens of thousands (Java 8/11 → 17) Applications upgraded
- 4,500+ years Development work saved (estimate)
- $260M from performance improvements Annual cost savings (estimate)
Amazon Q Developer (code transformation agent)
- Vendor-published Rollout / adoption
Stripe rolls Claude Code out to 1,370 engineers with a zero-configuration binary
Stripe
- 1,370 Engineers with Claude Code enabled
- 2–3 months Time to produce signed enterprise binary
- 6 Coding assistants enabled at Stripe
Claude Code
- Vendor-published Language migration brownfield
Stripe migrates 10,000 lines of Scala to Java in four days
Stripe
- 10,000 Lines migrated
- 4 days Actual duration
- 10 engineering weeks Manual estimate
Claude
- Vendor-published Modernization brownfield
Altisource modernizes 350,000 lines of legacy Java with Amazon Q Developer
Altisource
- 350,000+ lines Legacy Java modernized
- +25% (one modernization team, 'up to') Developer productivity
- ~160 → 200 Story points (3-month avg per engineer)
Amazon Q Developer
- Vendor-published Rollout / adoption
DTCC reports 40% higher developer throughput in an Amazon Q Developer proof of concept
DTCC
- +40% average Developer throughput (POC)
- −30% average Code defects (POC)
- +5% Security scores across repos
Amazon Q Developer
- Vendor-published Rollout / adoption
Palo Alto Networks onboards 2,000 developers to a Sourcegraph Cody + Claude coding assistant in 3 months
Palo Alto Networks
- 2,000 in 3 months Developers onboarded
- 150 developers Pilot group
- Up to +40%, average 20–25% Coding productivity
Sourcegraph Cody, Claude (Amazon Bedrock)
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