AI writes approximately 70% of Grindr's code across engineering operations
Reported: Engineering output has 2.5x'd since July 2025
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Home › AI Use-Case Library › AI in software development: 18 real deployments
Named deployments in software development, grouped by industry.
AI writes approximately 70% of Grindr's code across engineering operations
Reported: Engineering output has 2.5x'd since July 2025
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
Consolidating Trae coding platform and Coze agent-building tool into Doubao super-app, and planning to launch Doubao Work productivity agent
Routing production inference traffic for Hermes Agent through Ox Alpha model
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
Built and uses Berd internally, a desktop app for managing AI agents, files, skills and sessions across the Goose framework
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
Integrated xAI's Grok 4.6 reasoning model into GitHub Copilot for agentic coding and multi-step workflows
Integrated Nvidia NeMo Switchyard router into Devin Desktop to reduce AI inference cost
Reported: cut mean cost 28%
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
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%.
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
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
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
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
Acquired Cursor to build AI coding capabilities inside SpaceXAI
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.
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
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.