8 technology trends shaping software development
summary
Eight trends with practical tools and numbers: an open‑source Haven team assistance portal ships as a single container to codify prompts across planning-to-production; observability 2.0 pushes canonical logs to amortize writes after operators see observability traffic ~10x core transactions; legacy reverse engineering uses graph‑RAG (AST→graph + RAG) to map millions of LOC; on‑device LLMs use quantization, PGVector/pg_light and WebLLM; synthetic data (Bonito) addresses 25k–100k fine‑tuning datapoint needs; retrieval requires ColBERT or hybrid search; evals combine LLM judges plus human “vibe checks.”
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chapters (9)
- 0:00Introduction
- 1:47AI team assistance
- 8:23Observability 2.0
- 16:44Legacy code comprehension
- 23:10Retrieval Augmented Generation
- 30:40Local-first software
- 37:22On-device LLM inference
- 42:44Synthetic data generation
- 45:57Evaluating LLM performance
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