Building an AI coding pipeline that teams actually trust
How to wire agents into your SDLC with evals and guardrails, so AI multiplies velocity without putting code quality at risk.
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Ideas on AI, product & engineering
Practical, no-fluff writing from the Appflare team on building and shipping modern software.
AI automation: where to start (and what to avoid)
An impact-vs-effort framework for picking the highest-ROI workflow to automate first, plus the traps that sink most AI projects.
Read articleShipping an MVP in 10 weeks without regret
A week-by-week playbook: focus on one core journey, build foundations that prevent rewrites, and launch with a clear v2 backlog.
Read articleNative vs. cross-platform: choosing for your app
Native Swift and Kotlin with Kotlin Multiplatform for shared code, plus when React Native still makes sense.
Read articleRAG that works: grounding LLMs in your real data
RAG fails when retrieval is bad, not when the model is bad. Hybrid search, chunking, re-ranking, citations, and evals that hold up in production.
Read articleArchitecting for scale without over-engineering
Match architectural complexity to your product stage, from MVP monolith to scale-ready systems, without premature complexity or painful rewrites.
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