A 4-minute read for builders: a harness that times AI vs no-AI work on a greenfield task and a mature-repo fix, plus my 2-run demo that settles nothing yet.
After fourteen months of running LangChain in a production document-intelligence agent, a financial-services team faced a 3x abstraction overhead on every debugging session, breaki…
A health-tech team shipped an AI clinical-note summarizer with a plaintext prompt exposed directly to clinicians; daily active use was 8% of target at four weeks post-launch, and q…
The old framing—LangChain for workflows, LlamaIndex for retrieval—is outdated. Both frameworks now converge on overlapping territory, and this article provides a production-grade d…
I ran a month-long experiment building real features with AI coding tools, tracking test coverage, bug rate, and time-to-ship. The productivity gains were real but narrower than th…
I implemented the same coding assistant UX on OpenAI, Anthropic, and Google, keeping the interface identical while adapting prompts per vendor. The subtle UX differences — latency,…
I used Cursor for 10 days, Windsurf for 10 days, and Aider for 10 days — same actual work — and logged every prompt and result. Here is the honest verdict and where each one won.
Why autonomous AI development still breaks down without human engineering judgment, architectural ownership, and quality oversight -a practitioner's honest take.
Rex runs three open-source coding agents closed-loop on 50 real repo tickets — no human intervention — and publishes the solve rates, cost per ticket, and the failure modes that wi…
84% of developers use AI tools and daily users merge 60% more PRs—but AI-coauthored code shows 1.7x more issues. This article analyzes the real productivity data, the hidden qualit…
