Home › AI Use-Case Library › AI in software development: 28 real deployments

AI in software development: 28 real deployments

Named deployments in software development, grouped by industry.

28deployments
25in production or with results
17with a reported outcome
0halted or reversed
Sep 21, 2026last updated

Software & Tech 25 deployments

Clay

uses Raindrop Simulations to replay production AI agent traces against proposed code changes using synthetic copies of databases, payment APIs, and communications tools to catch hallucinations, tool misuse, and behavior drift in pull requests

In production Sep 18, 2026 Simulations Source: runtimewire.com
Framer

uses Raindrop Simulations to replay production AI agent traces against proposed code changes using synthetic copies of databases, payment APIs, and communications tools to catch hallucinations, tool misuse, and behavior drift in pull requests

In production Sep 18, 2026 Simulations Source: runtimewire.com
Vercel

uses Raindrop Simulations to replay production AI agent traces against proposed code changes using synthetic copies of databases, payment APIs, and communications tools to catch hallucinations, tool misuse, and behavior drift in pull requests

In production Sep 18, 2026 Simulations Source: runtimewire.com
Z.ai

Deployed a GLM-5.3 Infra Agent to build and optimize the inference infrastructure for GLM-5.3-Flash on a cluster of more than 100,000 Chinese-made AI accelerators

Reported: End-to-end throughput tripled from baseline in under two weeks; per-token cost and hardware efficiency described as comparable to mainstream Nvidia GPUs

Results reported Sep 17, 2026 GLM-5.3 Source: z.ai
Google

Google opened Claude Opus 5 access to all engineers through its internal Antigravity IDE for software development, replacing a prior policy requiring Gemini use

In production Sep 14, 2026 Claude Opus 5, Antigravity Source: businessinsider.com
NVIDIA

using Temporal Durable Execution platform for AI agent workloads

In production Sep 14, 2026 Source: temporal.io
OpenAI

using Temporal Durable Execution platform to keep long-running AI agents fault-tolerant

Reported: OpenAI's Temporal usage grew 60-fold in under a year

Results reported Sep 14, 2026 Source: temporal.io
GitHub

Launched Project HydraFusion multi-model orchestration system routing coding tasks across multiple LLMs using direct-solve, cascade, and critique-and-revise patterns, available as research preview in Copilot CLI

Reported: 4.9 pt gains on TerminalBench 2.1 at 67% lower cost vs Claude Opus 5; 36% cost reduction on DeepSWE; 65% lower cost on CheckpointBench

Pilot Sep 4, 2026 HydraFusion Source: github.blog
Meta

Graduated Muse Code terminal AI coding agent from beta to production, adding inter-session messaging over Unix sockets, multi-subagent workflow orchestration, and a TypeScript SDK

In production Aug 31, 2026 Muse Code Source: developer.meta.com
DoltHub

Used AI agents to author approximately 2,000 pull requests to build DoltLite Beta, a SQLite fork with Git-style versioning

Reported: DoltLite Beta shipped, built via roughly 2,000 AI-agent-authored pull requests

Results reported Aug 31, 2026 Source: dolthub.com
Grindr

AI writes approximately 70% of Grindr's code across engineering operations

Reported: Engineering output has 2.5x'd since July 2025

Results reported Aug 29, 2026 Coding agents Source: ft.com
Cursor

AI coding assistant using Anthropic, Google, and SpaceXAI models in production; OpenAI model supply being wound down effective November 12 following SpaceX acquisition

Reported: OpenAI represents only ~5% of Cursor's traffic

In production Aug 28, 2026 Coding agents Source: cybersecuritynews.com
ByteDance

Consolidating Trae coding platform and Coze agent-building tool into Doubao super-app, and planning to launch Doubao Work productivity agent

Announced Aug 24, 2026 Trae, Coze, Doubao Coding agents Source: bloomberg.com
Warp

Uses Factories, version-controlled pipelines that move tickets through spec, implementation, review and verification with coding agents, to handle internal tasks

Reported: factories already handle 30-35% of Warp's own internal tasks

Results reported Aug 18, 2026 Coding agents Source: warp.dev
Block

Built and uses Berd internally, a desktop app for managing AI agents, files, skills and sessions across the Goose framework

In production Aug 18, 2026 Goose Coding agents Source: cryptobriefing.com
Snowflake

Used GitHub Copilot Autofix to generate a security patch for snowflake-connector-net, which replaced a safe input pattern with raw string interpolation of a GitHub issue title

Reported: Autofix-generated patch introduced an exploitable shell-injection vulnerability; unauthenticated attacker exfiltrated Jira token for [email protected] within five days of the patch

Results reported Aug 17, 2026 GitHub Copilot Autofix Coding agents Source: wiz.io
GitHub

Integrated xAI's Grok 4.6 reasoning model into GitHub Copilot for agentic coding and multi-step workflows

In production Aug 14, 2026 Grok 4.6, GitHub Copilot Coding agents Source: github.blog
Cognition

Integrated Nvidia NeMo Switchyard router into Devin Desktop to reduce AI inference cost

Reported: cut mean cost 28%

Results reported Aug 11, 2026 NeMo Switchyard Coding agents Source: blogs.nvidia.com
Rippling

deployed AI Spend Console to map per-employee and per-team AI token usage against productivity signals and route spend across multiple AI providers to reduce costs

Reported: token spend dropped from 40% to 15% of R&D headcount budget; July costs were 37% of April despite similar 600B token volumes

Results reported Aug 7, 2026 Cursor, Grok, GLM 5.2 Coding agents Source: techcrunch.com
Databricks

Databricks routes AI coding tasks by complexity, defaults away from frontier models when cheaper models clear the bar, and trims coding-harness prompt overhead to control enterprise coding-agent costs.

Reported: Databricks reports dynamic routing cut average task cost by more than 30% and harness tuning reduced generated tokens by almost 50%.

Results reported Aug 7, 2026 Coding agents Source: Databricks
1Password

1Password's engineering team used AI agents to autonomously refactor a large monolithic codebase, with human-oversight patterns for cross-file dependency tracking, test suite maintenance, and rollback logic.

Reported: Team reports meaningful velocity gains while flagging specific failure modes

In production May 15, 2026 Coding agents Source: 1Password Blog
EPAM Systems

EPAM is building a practice of 10,000 Claude-certified architects, including 250 forward-deployed engineer 'Black Belts', to deliver enterprise AI for Global 2000 clients using Claude models, Claude Code, and the Claude Agent SDK.

Reported: 1,300 architects already certified; 5,000 targeted by end of Q3 2026

In production May 7, 2026 Claude, Claude Code, Claude Agent SDK Coding agents Source: EPAM
LlamaIndex

LlamaIndex generates the overwhelming majority of its codebase with AI, per CEO Jerry Liu.

Reported: Roughly 95% of the company's codebase is now AI-generated

Results reported May 2, 2026 Coding agents Source: VentureBeat
Google

Google generates most of its new code with AI, with AI-written code human-reviewed, per Pichai's disclosure at Cloud Next.

Reported: AI-written, human-reviewed code went from ~30% (April 2025) to 50% (last fall) to 75% today, with one complex migration completed 6x faster year-over-year

Results reported Apr 22, 2026 Coding agents Source: Techmeme

Aerospace & Defense 1 deployment

Government & Public Sector 1 deployment

Government of Alberta

Alberta deployed AI agents to scan provincial software and rebuild government services across 27 ministries.

Reported: The government says about 50 agents scanned 466 million lines of code in roughly 20 hours and reduced a five-month subsidy-portal rebuild to four or five days at about 95% lower cost.

Results reported Jul 15, 2026 Coding agents Source: Culture Alberta

Transportation 1 deployment

Uber

Uber rolled out Claude Code across its 5,000-engineer organization, with adoption accelerated by an internal leaderboard ranking teams by AI usage volume.

Reported: Claude Code adoption jumped from 32% to 84%; monthly API costs run $500-$2,000 per engineer; the entire 2026 AI tools budget was exhausted by April

Results reported May 26, 2026 Claude Code Coding agents Source: Fortune

Every entry names the organisation and links its source. Outcome figures are quoted as reported, never estimated. Vendor announcements without a named customer are excluded. Halted and reversed deployments are kept on purpose.