session-indexer brings per-project semantic memory to Claude Code via local SQLite

·1 views

A developer has released session-indexer, an open-source Go tool that indexes Claude Code session transcripts into a per-project SQLite database stored within the project's own directory. The tool uses two lifecycle hooks to automatically mine transcripts at session end and inject relevant context at session start, deriving search queries from git branch names and recent commit messages. When Ollama and the bge-m3 model are available, retrieval is ranked by cosine similarity over multilingual embeddings; otherwise, the tool falls back to FTS5 keyword search with no additional configuration required. Unlike centralized memory tools, session-indexer isolates each project's data, so a corrupted database affects only that project and can be rebuilt from existing transcripts. The tool ships as a single static binary with no CGO dependency and is available via standard Go installation.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Developer Considers Switching Portfolio from React to Astro.js for Better Performance

A developer who primarily builds interactive React dashboards recently questioned whether React is the right tool for a personal portfolio and blog. Unlike dashboards, portfolios are mostly static and do not require real-time state management, yet a React setup still forces the browser to download, parse, and execute a full JavaScript bundle before the page becomes interactive. Astro.js takes a different approach by assuming no JavaScript is needed by default, outputting plain HTML at build time and only hydrating components that explicitly require interactivity — a concept called Islands Architecture. This selective hydration means smaller JavaScript bundles, faster page loads, and better Core Web Vitals scores. The developer finds Astro's philosophy well-suited to content-focused sites like portfolios, and is actively considering migrating their existing React-based portfolio to the framework.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developer builds Dockerized crypto ETL pipeline to solve 'works on my machine' problem

A software developer has shared how they used Docker to containerize a cryptocurrency ETL pipeline that fetches live price data from the CoinPaprika API, transforms it, and loads it into a PostgreSQL database. The project was initially built as a single messy script with hardcoded credentials before being refactored into separate extract, transform, and load modules for better maintainability. Docker was chosen to eliminate environment inconsistencies across machines, packaging the entire runtime alongside the code so it runs identically everywhere. Sensitive database credentials were moved out of the source code and into environment variables loaded from a .env file excluded from version control. The write-up serves as a practical walkthrough of how modular design and containerization together improve reproducibility and security in data engineering projects.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Can AI Have a Soul? A Philosopher's Framework Offers a Precise Answer

A philosophical analysis published on DEV Community revisits Aristotle's concept of ψυχή — the organizing principle of living things — to examine whether large language models can meaningfully be said to possess a soul. Rather than treating the question as binary, the piece draws on Aristotle's three-tiered framework of nutritive, sensitive, and rational soul-activity to assess what AI architectures structurally support or exclude. The author argues that transformer-based models operate by mapping token sequences to probability distributions, producing behavior that resembles rational thought without the underlying architecture to genuinely support it. This emergent performance, the piece contends, is what corporate AI safety theater exploits, simulating humility and reasoning without the structural capacity for either. The analysis concludes that the real question is not whether AI has a soul, but which layers of soul-like activity its design permits — a distinction with direct implications for AI alignment and ethics.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How Statistics Forms the Backbone of Data Science

Statistics serves as the mathematical foundation of data science, enabling professionals to collect, analyze, and extract meaningful insights from raw data. Core concepts include descriptive statistics for summarizing datasets, probability theory for managing uncertainty, and inferential statistics for drawing conclusions about large populations from smaller samples. Techniques such as hypothesis testing help validate assumptions and support data-driven decisions, while correlation and regression analysis quantify relationships between variables. These statistical tools power practical applications like predictive modelling, which can forecast stock prices or customer behavior. In sectors such as finance and healthcare, statistics also plays a critical role in assessing risk and guiding informed decision-making.

0 comments Read more at DEV Community