7 real-world examples of companies getting results from AI with software development: the numbers, the companies, and the tools behind each win. Updated daily.
Most-used tools here: Claude Code, Flint, GPT-5.6 Sol, llm-d, vLLM, Amazon Bedrock
Katelyn Lesse, who leads platform engineering at Anthropic, said her roughly 200-person group has Claude write all of its code. Engineers focus on system design and verification while agents handle building, monitoring, and autonomous test fixes, including a…
Startup Recursive launched Flint, a free coding model small enough to run on a laptop. The company says its AI research system did most of the work in building the model, serving as an early test of AI that improves itself. No performance figures were…
Cybersecurity firm Calif used GPT-5.6 Sol to identify two critical vulnerabilities in PHP, the open-source language behind many websites. Wiz independently found the same issues, and OpenAI's "Patch the Planet" initiative helped drive fixes as governments…
Google Cloud and partners released llm-d 1.0, a stable Kubernetes-native layer that coordinates vLLM or SGLang model servers into one pool. A vendor-reported Ironwood TPU coding benchmark showed median time-to-first-token cut by more than 85% and 2.4x…
Octave Reliance, a quality management SaaS for regulated industries, built a multi-tenant AI foundation on Amazon Bedrock using Cohere Embed v4. The platform embedded roughly 2 billion documents and launched a Complaint Triage Assistant. The shared…
Eon, a cloud data platform vendor, used Amazon Bedrock AgentCore to build an MCP Gateway that replaces per-tool credentials and local MCP processes. Its engineers and autonomous SRE agent now reach investigation tools across AWS, GCP, and Azure through one…
Microsoft says its in-house Maia 200 accelerator is now running in production across the US, Europe and Australia, serving Copilot and built-in AI features in Teams. The company reports up to 1.7x more tokens per watt than leading GPU infrastructure and…