SShortSingh.
Back to feed

Project Mind — Turn Your GitHub History Into Searchable Memory

0
·11 views

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend Software projects accumulate more than code. They accumulate decisions, bugs, fixes, discussions, constraints, and context. But that knowledge is usually scattered across source files, README files, GitHub issues, pull requests, commits, and personal notes. I built Project Mind to bring that knowledge together. Project Mind is an AI-powered memory and question-answering system for GitHub repositories, built for a friend who works on software projects and spends a lot of time trying to remember how and why differen

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)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Multimodal AI Breaks at the Tokenizer, Not the Model

TL;DR — The gap between a multimodal demo and a production system isn't model capability — it's the token economics of turning video and audio into sequences the transformer can read. Naive frame sampling and fixed-window audio chunking quietly blow up cost, latency, and accuracy long before the language model does any reasoning. Treating modality ingestion as a retrieval problem, not a context-stuffing problem, is the fix most teams skip. Every multimodal demo follows the same script: drop in a short clip, ask a question about it, watch the model nail it. Then someone tries it on a forty-minu

0
ProgrammingDEV Community ·

OfferProof: an offline job-scam checker for my fresher friends

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend When I read "build for a friend", my first thought was that none of my friends had a problem I could fix in a weekend. Then I thought about what most of my batch is doing right now. We're all applying for our first jobs. And if you're a fresher looking for a job, you're exactly who fake job offers are aimed at. They look something like this.

0
ProgrammingDEV Community ·

Your Agent Said "Done". The Filesystem Disagrees.

"Task completed successfully." That's the most common lie in agent systems. Usually the agent isn't lying on purpose. It just reports what it intended to do, the logs repeat it, and nobody checks the filesystem. I built VASB (Verifiable Agent Systems Benchmark) to make that failure measurable. It grades what actually happened to the world, not what the agent said happened.