David Nield writes that DoorDash has unveiled its new drone delivery service, DoorDash Air, promising food delivery in under five minutes on average. The six-propeller aircraft will initially be tested in Northern California in partnership with restaurant brands like Chipotle and Popeyes Louisiana Kitchen. This development coincides with growing backlash against Amazon's Prime Air service in Richardson, Texas, where residents are complaining about the constant buzzing of dozens of drones passing overhead each day.
- DoorDash estimates around 80% of customer orders are light enough to be transported by drone.
- The drones will lower their cargo to the ground rather than landing directly.
- Amazon's Prime Air drones in Texas are permitted to fly between 7am and 8pm.
- DoorDash estimates around 80% of customer orders are light enough to be transported by drone.
- The drones will lower their cargo to the ground rather than landing directly.
- Amazon's Prime Air drones in Texas are permitted to fly between 7am and 8pm.
CodeAF is an open-source software factory designed for open models, aiming to optimize cost and efficiency in agentic coding workflows. Unlike traditional AI copilots that assist with line-by-line typing, CodeAF operates as a single terminal interface where users can delegate complex tasks, manage multiple projects simultaneously via subharnesses, and supervise autonomous "crews" of specialized agents (worker, planner, and checker). It is built in Go to be a lightweight, high-performance binary that supports various providers like OpenRouter, DeepSeek, Ollama, and Codex.
- Ranked #1 on the DeepSWE benchmark for cost efficiency per solved issue.
- Uses "Pareto Crewing" to automatically select different models for planning, working, and checking tasks based on performance/cost profiles.
- Supports a headless mode (`codeaf do`) designed specifically for CI/CD pipelines and automated workflows.
- Features a remote execution capability that allows users to drive the engine from any terminal or mobile device via SSH without network latency in UI rendering.
- Ranked #1 on the DeepSWE benchmark for cost efficiency per solved issue.
- Uses "Pareto Crewing" to automatically select different models for planning, working, and checking tasks based on performance/cost profiles.
- Supports a headless mode (`codeaf do`) designed specifically for CI/CD pipelines and automated workflows.
- Features a remote execution capability that allows users to drive the engine from any terminal or mobile device via SSH without network latency in UI rendering.
Leela Kumili writes about DoorDash's multi-agent LLM system that automates stale feature flag cleanup across 623 repositories. In an evaluation of 50 stale flags, the system produced usable pull requests for 45, averaging 13.8 minutes and $4.79 per cleanup versus an estimated one to two hours for manual work. The two-phase workflow uses Claude Sonnet as an orchestrator to retrieve Jira tickets and query experimentation metadata via MCP, then Claude Opus agents in isolated Git worktrees to perform code changes and validation.
- A single Boolean flag can require changes across 5–20 files due to dependency-injected wrappers
- Uber's AST-based Piranha couldn't handle DoorDash's DI patterns where flag-to-logic relationships are semantic
- Outcomes: 31 first-pass merges, 14 revisions, 5 engineer interventions, zero regressions
- Gradle runs without its daemon to prevent state sharing between concurrent worktrees
- Work accepted for the ICSME 2026 industry track
- A single Boolean flag can require changes across 5–20 files due to dependency-injected wrappers
- Uber's AST-based Piranha couldn't handle DoorDash's DI patterns where flag-to-logic relationships are semantic
- Outcomes: 31 first-pass merges, 14 revisions, 5 engineer interventions, zero regressions
- Gradle runs without its daemon to prevent state sharing between concurrent worktrees
- Work accepted for the ICSME 2026 industry track
Leela Kumili writes about DoorDash's Flux platform, which moved LLM-based coding agent workloads from developer laptops to cloud infrastructure, automating 130,000 engineering tasks in a single month and supporting over 25,000 automated code reviews per week. The platform was built after local execution hit limits on power, uptime, and security, and is organized around four primitives: Firecracker microVM sandboxes, an in-house MCP gateway, YAML-defined playbooks, and multiple invocation surfaces (Slack, GitHub, cron, CLI, conversational interfaces).
- Sandboxes achieve a 95th percentile SLO under 5 seconds for full setup, including microVM start, repo clone, build tool install, and agent harness configuration.
- Playbooks can mix agent-driven steps with deterministic code where predictable execution or validation is required.
- The Agent Gateway enforces scoped permissions and logs all agent activity for auditing and policy enforcement.
- DoorDash switched Slack integration from private channels to public threads so engineers could observe agent executions and see how other teams delegated work.
- Sandboxes achieve a 95th percentile SLO under 5 seconds for full setup, including microVM start, repo clone, build tool install, and agent harness configuration.
- Playbooks can mix agent-driven steps with deterministic code where predictable execution or validation is required.
- The Agent Gateway enforces scoped permissions and logs all agent activity for auditing and policy enforcement.
- DoorDash switched Slack integration from private channels to public threads so engineers could observe agent executions and see how other teams delegated work.
AI Observer writes that DoorDash uses a tiered approach to code review, employing high-end frontier models for complex tasks while using Kimi 2.6 for routine work to reduce costs without losing quality. This strategy coincides with congressional inquiries into how companies evaluate and deploy Chinese language models. The article recommends that developers focus on internal benchmarking and data security rather than political developments.
- DoorDash relies on DashBench, an internal benchmark, to verify model performance during the transition.
- Kimi 2.6 is a value-tier open-weight model, while K3 serves as a multimodal flagship.
- The U.S. House Select Committee on China requested documentation regarding these deployment practices.
- DoorDash relies on DashBench, an internal benchmark, to verify model performance during the transition.
- Kimi 2.6 is a value-tier open-weight model, while K3 serves as a multimodal flagship.
- The U.S. House Select Committee on China requested documentation regarding these deployment practices.
Alex Bitter writes that DoorDash is employing gig workers to manually load orders into its Dot delivery robots because the machines cannot navigate the gap between restaurant counters and curbsides. This pilot program aims to support merchants during busy periods while creating new earning opportunities for Dashers as companies work around current automation limitations.
- The Dot robot holds up to 30 pounds of cargo and is roughly the size of a baby stroller.
- Waymo has previously used human workers in Atlanta to close doors on self-driving cars.
- The Dot robot holds up to 30 pounds of cargo and is roughly the size of a baby stroller.
- Waymo has previously used human workers in Atlanta to close doors on self-driving cars.
Wajeeh Khan writes that DoorDash shares rose following FAA approval of its Part 135 air carrier certification. This allows the launch of DoorDash Air, an in-house drone delivery service intended to reduce logistical costs and improve profit margins by automating mid-distance deliveries.
- One of eight operators authorized for commercial U.S. drone flight.
- Employs internally built hardware from DoorDash Labs instead of third-party licensing.
- Wall Street maintains a "Strong Buy" consensus with an average target near $245.
- One of eight operators authorized for commercial U.S. drone flight.
- Employs internally built hardware from DoorDash Labs instead of third-party licensing.
- Wall Street maintains a "Strong Buy" consensus with an average target near $245.
Kirsten Korosec writes that DoorDash is launching a new drone delivery service called DoorDash Air following receipt of FAA Part 135 air carrier certification. Developed by the company's robotics and autonomy team, this initiative aims to integrate custom-built aircraft into an existing network alongside human couriers and sidewalk robots through its "Autonomous Delivery Platform."
- Initial operations will likely consist of limited line-of-sight pilot programs.
- The service intends to eventually seek certification for Beyond Visual Line of Sight technology.
- DoorDash is maintaining current drone partnerships with Wing and Flytrex.
- Sidewalk bots named Dot are already operating in various cities across Arizona and California.
- Initial operations will likely consist of limited line-of-sight pilot programs.
- The service intends to eventually seek certification for Beyond Visual Line of Sight technology.
- DoorDash is maintaining current drone partnerships with Wing and Flytrex.
- Sidewalk bots named Dot are already operating in various cities across Arizona and California.
