u/Vivek-Kumar-yadav

I forked Qwen Code and added full AWS Bedrock integration. Now vivekmind supports every model in your Bedrock account — Claude, Llama, DeepSeek, Qwen, Mistral, MiniMax, and 100+ more — all through your own keys. Dynamic model discovery, cost tracking, streaming, tool use, agentic workflows. It works today.

But that is just the beginning. I want to open this up and build something much bigger with a team.

The roadmap I am aiming for:

• Every AI provider, not just Bedrock. OpenAI, Anthropic, Google, Groq, DeepSeek, Mistral, Cohere, Together, Ollama, and anything else developers use. One CLI, any model, no walled gardens.
• Smarter agent tools. Deeper codebase understanding, multi-file refactors, terminal command chaining, browser access, and tighter shell integration.
• Image and multimodal input directly inside the terminal.
• A redesigned streaming experience. Faster rendering, inline token-by-token feedback, better progress visibility.
• First-class support for both local models and cloud providers, with instant switching.
• Intelligent memory and context management. Long sessions, large codebases, without blowing through tokens.
• IDE-grade inline suggestions while typing, not just chat-based interaction.
• For users who do not want to bring their own keys, a simple cloud plan. No lock-in, just convenience.

The core is solid. The architecture is clean TypeScript in a monorepo. There is massive room to innovate, and a single good PR lands in front of thousands of developers the next day.

If you are a TypeScript developer, a terminal UI enthusiast, someone who lives in Neovim or VS Code, or you simply believe coding agents should be free, open, and universal — I would love to have you on board.

GitHub: https://github.com/Lnxtanx/vivekmind-cli

Let us build the terminal coding assistant the whole industry deserves.

Stop writing SQL just to understand your own data.

Most data analysis workflows look like this:

→ Write a query

→ Export CSV

→ Open Excel or a BI tool

→ Build a chart manually

→ Repeat 10 times for 10 different questions

Resona AI inside Schema Weaver Data Explorer does all of this in plain English. You ask. It queries, analyses, and returns interactive results — directly from your live PostgreSQL database.

Here's what it can do in version 1:

📊 CHARTS & VISUALISATION

→ Bar, line, area, pie, scatter, heatmap, funnel, forecast charts

→ Chosen automatically based on what you ask

→ Interactive, exportable as PNG

→ View the exact SQL behind every chart

📍 KPIs & METRICS

→ "Show me revenue by product category this month"

→ "Top 10 customers by order value"

→ "How many signups per day last 30 days?"

📈 TRENDS & FORECASTING

→ Time series analysis with moving averages

→ Seasonality detection — finds weekly/monthly cycles automatically

→ Forecast trend with confidence interval band

🔎 DISTRIBUTIONS & STATISTICS

→ Mean, median, std deviation, percentiles, skewness, kurtosis

→ Frequency histograms

→ Cardinality and entropy per column

🔗 CORRELATION & REGRESSION

→ Scatter plots for any two numeric columns

→ Correlation matrix heatmaps

→ Linear regression with R², p-values, feature significance

🚨 ANOMALY & OUTLIER DETECTION

→ "Flag unusual spikes in payment amounts"

→ IQR and z-score outlier detection

→ Duplicate row detection

🧩 SEGMENTATION & COHORTS

→ Compare behaviour between user segments

→ 30-day retention cohort grids

→ Funnel analysis from signup → activation → conversion

→ Pareto analysis — which 20% drives 80% of your metric

📄 DATA QUALITY

→ Null rates, type inconsistencies, duplicate PKs per table

→ Referential integrity violations

→ Text column pattern analysis

📋 REPORTS & PRESENTATIONS

→ "Summarise today's analysis as a PDF"

→ "Create a PowerPoint with revenue trend and top product charts"

→ PPTX and PDF generated directly from your live data

All of this is version 1. There's more coming.

And the best part — try it right now without connecting your own database. A live demo database is already connected the moment you sign up.

👉 How to get started:

1. Go to data-explorer.schemaweaver.vivekmind.com

2. Sign up free — one click with Google

3. Demo database is already connected

4. Open Resona AI and ask anything

No SQL needed. No setup. No credit card.

🔗 All links:

• Data Explorer: data-explorer.schemaweaver.vivekmind.com

• Main site: schemaweaver.vivekmind.com

• AI overview docs: docs.schemaweaver.vivekmind.com/data-explorer/ai-overview

• Full docs: docs.schemaweaver.vivekmind.com

#PostgreSQL #DataAnalysis #AI #DevTools #BuildInPublic #DataExplorer #BusinessIntelligence #BackendDevelopment

I wanted a terminal AI coding agent that doesn't lock me into one model provider. So I forked Qwen Code and added full support for every model available in AWS Bedrock. The result is vivkemind.

What vivkemind does:

• Runs entirely on your machine, in your terminal.
• Uses your own AWS credentials to connect to Bedrock — no third‑party proxy.
• Supports all Bedrock models you have access to: Claude, Llama, DeepSeek, Qwen, Mistral, MiniMax, and 90+ more.
• Works as an agent: reads your codebase, edits files, runs commands, handles multi‑step tasks.
• Tracks token usage and estimates cost for every model call, right in the session stats.
• Is fully open source — fork it, add your own tools, wire up new providers, whatever you need.

Installation:

git clone https://github.com/Lnxtanx/vivekmind-cli.git
cd vivekmind-cli
npm install && npm run build && npm link
export AWS_ACCESS_KEY_ID=... AWS_SECRET_ACCESS_KEY=... AWS_REGION=...
vivekmind

Then configure your settings.json with the Bedrock models you want and start coding.

Why I built it:

Most CLI agents lock you into a single company’s API or require you to pay for a subscription on top of your own AI usage. With Bedrock, you already pay AWS for the models you use. vivkemind just gives you a proper terminal agent on top, with no extra costs and no walled gardens.

If you're tired of being locked in and want full control over your AI coding workflow, give it a try. Feedback and contributions are welcome.

GitHub: https://github.com/Lnxtanx/vivekmind-cli.git

I wanted a terminal AI coding agent that doesn't lock me into one model provider. So I forked Qwen Code and added full support for every model available in AWS Bedrock. The result is vivkemind.

What vivkemind does:

• Runs entirely on your machine, in your terminal.
• Uses your own AWS credentials to connect to Bedrock — no third‑party proxy.
• Supports all Bedrock models you have access to: Claude, Llama, DeepSeek, Qwen, Mistral, MiniMax, and 90+ more.
• Works as an agent: reads your codebase, edits files, runs commands, handles multi‑step tasks.
• Tracks token usage and estimates cost for every model call, right in the session stats.
• Is fully open source — fork it, add your own tools, wire up new providers, whatever you need.

Installation:

git clone https://github.com/Lnxtanx/vivekmind-cli.git
cd vivekmind-cli
npm install && npm run build && npm link
export AWS_ACCESS_KEY_ID=... AWS_SECRET_ACCESS_KEY=... AWS_REGION=...
vivekmind

Then configure your settings.json with the Bedrock models you want and start coding.

Why I built it:

Most CLI agents lock you into a single company’s API or require you to pay for a subscription on top of your own AI usage. With Bedrock, you already pay AWS for the models you use. vivkemind just gives you a proper terminal agent on top, with no extra costs and no walled gardens.

If you're tired of being locked in and want full control over your AI coding workflow, give it a try. Feedback and contributions are welcome.

GitHub: https://github.com/Lnxtanx/vivekmind-cli.git

Seriously though — why are we still downloading 500MB desktop apps to look at ER diagrams?

Schema Weaver runs in your browser. No install. Your SQL is parsed client-side so nothing leaves your machine. Live ER diagram updates as you type. AI that actually understands your schema structure.

Free to try:

• SQL Editor: sql-editor.schemaweaver.vivekmind.com

• Data Explorer: data-explorer.schemaweaver.vivekmind.com

• Main site: schemaweaver.vivekmind.com

Demo database already connected on signup — no setup needed.

You just inherited a Postgres database.

No docs. No comments. 47 tables, 12 schemas, foreign keys going everywhere, enums you've never seen before, views that depend on views that depend on other views.

Where do you even start?

Most developers do this:

→ Open pgAdmin, click through tables one by one

→ Open DBeaver, try to generate an ER diagram that immediately looks like a plate of spaghetti

→ Start reading migration files hoping someone left comments

→ Give up and just ask the person who wrote it

There's a better way.

Open Schema Weaver. Paste your schema.sql or connect your database directly. In 60 seconds you get:

🗂️ A live ER diagram showing every table, view, enum, function, sequence, extension, and RLS policy — colour-coded by schema group so you instantly see what belongs where

🔍 Path analysis — click any two tables and Dijkstra finds the shortest JOIN path between them. No more guessing which foreign keys to chain

🔬 Schema compiler — grades the inherited database A through F, lists every structural issue with file and line reference. Now you know exactly what's broken before you touch anything

🤖 Ask Resona AI — "explain the billing schema", "what does this view depend on?", "is there a risk if I drop this table?" It reads your full schema context and answers accurately

📊 Data Explorer — browse the actual rows, run AI queries in plain English, understand what data is actually in there

From confusion to clarity in 60 seconds. No install. No download. Everything runs in your browser.

Your SQL is parsed client-side — it never leaves your machine.

Free to start:

• Main site: schemaweaver.vivekmind.com

• SQL Editor: sql-editor.schemaweaver.vivekmind.com

• Data Explorer: data-explorer.schemaweaver.vivekmind.com

• Docs: docs.schemaweaver.vivekmind.com

#PostgreSQL #DatabaseDesign #DevTools #BackendDevelopment #BuildInPublic #SoftwareEngineering

"I'd never paste my schema into a website I don't own."

This is the most common concern I hear about Schema Weaver. It's a completely fair one. So here's exactly how it works under the hood.

Your SQL never leaves your browser.

💻 CLIENT-SIDE PARSER

Schema Weaver has a built-in PostgreSQL parser that runs entirely in your browser. When you type SQL, it is parsed locally — no server round-trip, no network request, nothing sent anywhere. Full PostgreSQL object model: tables, views, materialized views, enums, domains, functions, sequences, extensions, RLS policies, triggers, partitions, composite types — all parsed in-browser.

📊 CLIENT-SIDE ER DIAGRAM

Generated from your parsed schema using an ELK-based layout engine running in your browser. Disconnect from the internet entirely — the diagram still updates as you type. No server rendering, nothing external. 1000+ tables, all local.

⚡ CLIENT-SIDE SCHEMA COMPILER

The 20-layer schema compiler runs client-side under 50ms. Analyses your full merged schema, detects issues, grades your database A-F — without a single byte of your SQL leaving your machine.

💾 TWO STORAGE OPTIONS

By default your SQL files live in your browser's IndexedDB — nothing sent to any server. Sign in for optional cloud sync: files stored encrypted so you can access them across devices and collaborate with teammates. You choose.

🔒 ZERO DATA COLLECTION

We don't read your SQL. We don't analyse your schema server-side. We don't log your DDL. The only things stored server-side are your account credentials and, if you connect a database, your connection string encrypted with AES-256 — never returned by the API, never logged.

For the Data Explorer: your row data streams directly from your database to your browser. It never touches our servers. The AI reasons over schema metadata only — never your actual row values.

The schema compiler, parser, and ER diagram are all offline-capable. Your SQL stays yours.

🔗 Try it free — no credit card:

• Main site: schemaweaver.vivekmind.com

• SQL Editor: sql-editor.schemaweaver.vivekmind.com

• Data Explorer: data-explorer.schemaweaver.vivekmind.com

• Docs: docs.schemaweaver.vivekmind.com

#PostgreSQL #DataPrivacy #DevTools #BuildInPublic #DatabaseDesign #BackendDevelopment

Most ER diagram tools only show tables and relationships.

Schema Weaver shows your entire PostgreSQL database — every object, every schema, every relationship. In your browser. No install.

Here's what's visible in the diagram right now:

🟦 Tables — with columns, types, PKs, FKs, indexes, and check constraints

🟣 Views and Materialized Views — with dependency arrows showing what they depend on

🟡 Enums — with all values listed directly on the node

🟢 Domains — with base type and check constraints

🟣 Functions — with return type and schema namespace

🔵 Sequences — fully visible, linkable to their owning columns

🟠 Extensions — pgcrypto, citext, pg_trgm, hstore, uuid-ossp — all rendered

🟣 RLS Policies — command type and USING clause visible on the node

🟢 Roles — as first-class diagram objects

Every object is colour-coded by schema group — public, auth, billing, inventory, analytics. So in a complex multi-schema database you instantly know what belongs where.

This is something no other ER tool does.

dbdiagram.io? Its own custom DDL syntax — not real PostgreSQL. Only tables and basic relationships.

DrawSQL? Same. Custom syntax, tables only.

DBeaver? Desktop install, only shows tables in diagrams.

pgAdmin? Tables only, no AI, no schema grouping.

Schema Weaver uses native PostgreSQL DDL — the same SQL you already write. Paste your real schema and every object renders immediately.

And it scales. The layout engine handles 20,000+ tables without breaking, running entirely in your browser using an ELK-based force-directed layout.

No install. No download. Free to use.

👉 sql-editor.schemaweaver.vivekmind.com

Open it, paste your schema.sql, and see your entire database visualised in seconds.

#PostgreSQL #DatabaseDesign #ERDiagram #DevTools #BuildInPublic #BackendDevelopment #DataModeling #SoftwareEngineering

Your database migration workflow shouldn't require a terminal installed on your machine.

Schema Weaver has a built-in terminal inside the browser. No SSH. No local CLI. No switching windows.

Here's the full migration workflow without leaving your browser:

sw status → checks your live database connection and latency

sw diff → compares your local schema files against production, shows exactly what changed

sw push → previews the migration SQL before applying anything

sw apply → runs the migration with advisory locking and drift detection

sw rollback → reverts with auto-generated reverse SQL if anything goes wrong

Every command runs against your real database. Every migration is wrapped in a transaction. Every change is logged in a tamper-evident audit chain.

Change a column type? Schema Weaver automatically runs the 6-phase safe mode: shadow column → sync trigger → batch backfill → swap → cleanup. No downtime. No manual steps.

Two destructive changes detected? It blocks the push and tells you exactly what they are before you confirm.

All of this from a browser tab. No install. No desktop app. No terminal on your machine.

👉 Try it free: sql-editor.schemaweaver.vivekmind.com

#PostgreSQL #DatabaseTools #DevTools #BuildInPublic #BackendDevelopment #Migrations

I vibe coded a Cursor for your database — browser-based Postgres workspace with AI that actually acts on your schema

So here's the thing.

You use Cursor or Claude to build your backend. Your AI writes the API routes, the auth logic, the business layer. Clean. Fast. Vibes immaculate.

Then you need to change your database schema.

Suddenly you're:

- Opening dbdiagram.io to sketch the new tables

- Switching to DBeaver to check what's actually in prod

- Writing migration scripts by hand hoping nothing breaks

- Exporting CSV so your PM can see the data

- Praying the schema in your code matches what's actually in the database

Four tools. Zero vibes.

I spent 4 months building Schema Weaver to fix this. One browser tab. No install. No desktop app.

Here's what happens instead:

You open the SQL Editor. Your schema is organised into files like a codebase — users.sql, orders.sql, billing.sql. As you type, the ER diagram updates live. Every relationship, every table, every enum and RLS policy — visible in real time.

Resona AI sits inside the diagram. You click a table node and say "add a notifications system with read receipts and push token support." It plans the changes, edits the right files surgically, runs the schema compiler, fixes any issues it finds, then asks you to confirm before touching production. You watch the whole reasoning chain stream in real time.

The schema compiler runs on every keystroke — client-side, under 50ms. Grades your schema A through F. Catches missing PKs, RLS gaps, circular dependencies, orphan sequences before they become production incidents.

When you're ready to push, drift detection fingerprints your live database first. Advisory locking prevents two people deploying at the same time. If something goes wrong, reverse SQL is auto-generated for instant rollback.

And for your non-technical teammates — the Data Explorer. They connect, browse millions of rows, ask Resona AI questions in plain English. "Which users haven't logged in for 30 days?" "Show me revenue by category as a chart." "Are there anomalies in payment amounts?" It writes the SQL, runs it live, generates the chart. No CSV. No Notion table. Just answers.

Your row data never leaves your server. Everything streams directly from your database to your browser.

MCP support included — so your existing AI agents can control Schema Weaver and your whole database directly.

Live demo database already connected. Sign up and start asking Resona AI questions immediately — no database setup needed.

Free to start:

- SQL Editor: sql-editor.schemaweaver.vivekmind.com

- Data Explorer: data-explorer.schemaweaver.vivekmind.com

- Main site: schemaweaver.vivekmind.com

Looking for people to try it, break it, and tell me what's wrong. Genuine feedback = 1 month paid plan free.

Hey r/indiandevs,

I'm a solo developer and I've spent the last 4 months building Schema Weaver — a complete PostgreSQL workspace that runs entirely in your browser. No install, no desktop app.

I built this because I kept running into the same frustration in every project — PGAdmin for browsing, DBeaver for diagrams, handwritten migration scripts, CSV exports every time a non-technical teammate needed to see data. Four tools, four contexts, no single source of truth.

So I built one tool that handles everything.

What it includes:

SQL Editor

- Multi-file DDL projects organised like a codebase

- Live ER diagram that updates as you type — handles 1000+ tables

- 20-layer schema compiler that grades your schema A-F in real time (missing PKs, RLS gaps, circular dependencies, orphan sequences — all caught client-side under 50ms)

- Dijkstra + BFS path analysis to find shortest JOIN path between any two tables

- Safe migration engine with drift detection, advisory locking, and automatic rollback

- Resona AI — ReAct agentic loop with 55 tools, anchored to your actual schema context

Data Explorer

- Browse millions of rows with zero lag

- Ask Resona AI questions in plain English — it writes the SQL and runs it live

- Generates charts, anomaly detection, summary reports, PPTX slide decks

- Your data never leaves your server — zero exfiltration

Live demo database included — you can try the full product right now without connecting your own database.

Pricing is INR-friendly: Free tier available.

Looking specifically for feedback from backend developers, database engineers, and anyone working with PostgreSQL day to day. What's broken? What's missing? What would actually make this useful in your workflow?

Free to try, no credit card:

- SQL Editor: sql-editor.schemaweaver.vivekmind.com

- Data Explorer: data-explorer.schemaweaver.vivekmind.com

- Main site: schemaweaver.vivekmind.com

- Docs: docs.schemaweaver.vivekmind.com

Genuine feedback = 1 month paid plan free. Happy to answer any questions about how it's built.

Hey r/PostgreSQL,

I've been working with Postgres for a couple of years and kept running into the same frustration — PGAdmin for browsing, DBeaver for diagrams, handwritten migration scripts, CSV exports for anyone who wanted to see data. Everything disconnected.

So I spent the last 4 months building Schema Weaver. It's browser-based, no install needed.

Here's what it actually does:

**SQL Editor**

- Multi-file projects (organise DDL like a codebase)

- Live ER diagram that updates as you type — handles 1000+ tables

- 20-layer schema compiler: grades your schema A–F, detects missing PKs, redundant indexes, RLS gaps, circular dependencies, orphan sequences, unsafe security definers, and more — all client-side under 50ms

- Dijkstra + BFS path analysis to find shortest JOIN path between any two tables

- Schema diff (unified, side-by-side, semantic)

- Version history with one-click restore

**Migration Engine**

- Advisory locking to prevent concurrent conflicts

- Drift detection — fingerprints your DB before every push

- 6-phase safe mode for column type changes (shadow column → sync trigger → backfill → swap)

- Tamper-evident audit chain with auto-generated reverse SQL for rollback

**Resona AI**

- ReAct agentic loop with 55 purpose-built tools

- Table AI, Group AI, Global AI — anchored to actual schema context, not just text

- Surgical multi-file workspace editing — patches specific lines, preserves formatting

- Streams reasoning + tool calls in real time

**Data Explorer**

- High-performance grid with canvas-based smart column sizing

- Server-side filtering, sorting, column stats

- Agentic AI analysis — 40+ tools, generates charts, anomaly detection, PPTX/PDF reports

- Full DB export as ZIP (CSV, JSON, Excel, SQL)

- Read-only by default, automatic PII masking

Full Postgres support: partitions, RLS, composite types, domains, materialized views, PL/pgSQL, extensions — PG 12–17.

---

I'm in early testing phase and genuinely want to know:

- What breaks?

- What's missing that you'd actually use?

- Is the compiler catching issues you care about?

- Does the AI understand your schema or does it hallucinate?

Free to try, no credit card:

🔗 SQL Editor: sql-editor.schemaweaver.vivekmind.com

🔗 Data Explorer: data-explorer.schemaweaver.vivekmind.com

🔗 Docs: docs.schemaweaver.vivekmind.com

landing page: https://schemaweaver.vivekmind.com/

Happy to answer any questions about how it's built.