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GitHub - flightdeckhq/flightdeck: Observability and control plane for AI agents. CSP Radar GitHub - Light-Heart-Labs/DreamServer: Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. GitHub - Diplomat-ai/diplomat-agent-ts: What can your TypeScript AI agent do to the real world? Scan your code. See which tool calls have zero checks Code Block Selector - Visual Studio Marketplace Prometheus dependency graph — interactive showcase | Riftmap Show HN: I made a vi-like modal keyboard plugin for Figma GitHub - run-llama/liteparse: A fast, helpful, and open-source document parser GitHub - dalemyers/Roar: A macOS CLI tool for notifications GitHub - district-solutions/open-agent-tools-coder: Enables small-to-large self-hosted ai models to use local source code when running tool-calling agentic workloads. We actively data mine 20,900+ (2+ TB) popular github repos using large and small ai models to create reuseable: json, markdown and parquet files for local-first tool-calling models. GitHub - progapandist/stripeek: A local TUI proxy for real-time Stripe API debugging, built for navigating complex payloads fast. GitHub - sir1st/hermes-desktop: All-in-one cross-platform desktop app for Hermes Agent — bundles Python + hermes-agent + hermes-web-ui GitHub - astefanutti/shaderbang: Shebang for Shaders Show HN: Generate Claude Code Workflows using Spec Driven Development approach GitHub - nixys/nxs-universal-chart: The Helm chart you can use to install any of your applications into Kubernetes/OpenShift Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code. GitHub - tamerh/enju: Coordinating Humans, AI Agents, and Compute as Peers on a Shared Workflow Graph Show HN: Continuity-auth – Respect-weighted rate limits for the open web GitHub - luml-ai/luml: AI lifecycle platform where engineers and agents track experiments, train models, and ship to production. GitHub - mrdanielcasper/CoreTex: A UNIX-inspired, biomimetic, flat-file AI harness and knowledge engine. GitHub - clemg/pierre-github: Pierre's diffs.com and trees.software for Github GitHub - lyriks-io/unspaghettit: Behavior-driven AI development without prompt spaghetti. GitHub - sofumel/claude-handoff-revive: Resume Claude Code work after rate/usage/context limits without replaying the prior transcript. Auto-saves at 90%/95% usage. Plugin-installable, 10 languages. GitHub - dotexorg/saferpc: Typed, end-to-end encrypted RPC over any bidirectional channel. GitHub - BeeZeeAgent/beezee: Agent harness orchestration Legato Next.js Boilerplate for Internal Tools · CoreUI GitHub - clark-labs-inc/clark-hash: Clark Hash, 32x smaller searchable sketches for embeddings GitHub - ZeroPointRepo/youtube-mcp: The fastest YouTube transcript + YouTube search MCP for AI agents. Try for free. Typing Mastery — climb toward 100+ WPM, deliberately GitHub - Andebugulin/Awareen GitHub - fayzan123/claude-workflow-composer: Visual desktop app for composing multi-agent coding workflows. Drag agents, attach skills and MCPs, wire handoffs, export to .claude/ GitHub - harshaneel/humanize: Best static AI text humanizer. Two research-grounded skills that work in any LLM (Claude, ChatGPT, Gemini, Codex): humanize beats perplexity-based detectors, ai-check produces forensic scoring with evidence-quoted flags. Nine levers, 50+ peer-reviewed sources, 2024-2026 detection literature. GitHub - StackOneHQ/stack-nudge GitHub - nodes-app/swift-markdown-engine: A native AppKit Markdown editor for macOS, built on TextKit 2 and bridged to SwiftUI. We hardened an LLM agent. Each defense we added made it more exploitable. GitHub - alkait/WhatsKept: Agent-queryable WhatsApp history from an iOS backup — a single Go binary. GitHub - octelium/cordium: Open-source, general-purpose sandbox platform for devs and AI agents that provides identity-based secure access to infrastructure without credentials. WAR.GOV/UFO Microfilm5 GitHub - scosman/videowright: Build animated explainer videos with your coding agent GitHub - dipankar/dscode: The code editor you can take apart. GitHub - zoharbabin/web-researcher-mcp: MCP server (Go) for AI assistants: web search, content extraction, academic/patent/news research. Multi-provider routing, 4-tier scraping, search lenses. Works with Claude, Cursor, and any MCP client. GitHub - ruvnet/RuView: π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video. GitHub - scanaislop/aislop: Catch the slop AI coding agents leave in your code: narrative comments, swallowed exceptions, as-any casts, dead code, oversized functions. 50+ rules across 7 languages (TypeScript, JavaScript, Python, Go, Rust, Ruby, PHP). Sub-second, deterministic, no LLM at runtime. MIT-licensed. GitHub - kouhxp/cheap-im: CPU-only voice agent approximating Thinking Machines' Interaction Models demo GitHub - unprovable/OrchidMantis: Orchid Mantis — standalone framework for Zero-Knowledge Proofs of eXploit (ZKPoX). GitHub - MarcellM01/TinySearch: Shrink the web for your local LLMs! GitHub - pileax-ai/pileax: PileaX is an all-in-one AI knowledge base system. 🍀 GitHub - TangibleResearch/Halgorithem: A Algo designed to detect AI Hallucitions GitHub - DO-SAY-GO/freelang: I love freelang GitHub - CarpseDeam/Aura-IDE: An AI coding harness that shaped itself - Planner/Worker agents, repo awareness, surgical edits, validation, recovery, and safe diff approvals. GitHub - chojs23/concord: A feature-rich TUI client for Discord GitHub - tommyjepsen/awesome-ux-skills: UX & AI Product designs skills you can use today in Claude Code GitHub - aerf-spec/aerf: Agent Evidence Receipt Format (AERF) — an open specification for tamper-evident, independently verifiable records of AI agent actions. GitHub - kklimuk/docx-cli: CLI for AI agents (Claude, Codex) to read, edit, and comment on .docx files with full format fidelity. GitHub - Jwrede/tokentoll: Catch LLM cost changes in code review. Infracost for LLM spend. GitHub - samchon/ttsc: A `typescript-go` toolchain for compiler-powered plugins and type-safe execution + 500x faster lint integrated into compiler GitHub - Higangssh/homebutler: 🏠 Manage your homelab from chat. Single binary, zero dependencies. GitHub - olalie/tapmap: See where your computer connects and what stands out on a live world map. GitHub - matisiekpl/neond: DX-focused control plane for Postgres dedicated to non-critical workloads. Your postgres:latest replacement 🐘 GitHub - Diplomat-ai/diplomat-agent: What can your AI agent do to the real world? Scan your code. See which tool calls have zero checks GitHub - Bajusz15/beacon: Open-source agent for secure remote access, monitoring, and deploys across home-lab and self-hosted machines like Raspberry Pi, N100, or any Linux server. Open web based TTY or tunnel Home Assistant and other local services securely without opening ports. BigTech AI News - Chrome 应用商店 GitHub - vinhnx/VTCode: VT Code is an open-source coding agent with LLM-native code understanding and robust shell safety. Supports multiple LLM providers with automatic failover and efficient context management. GitHub - michaelaz774/decision-engine: A decision operating system for startup founders, powered by Claude Code. Synthesizes wisdom from 25+ legendary founders and investors into interactive AI-driven decision frameworks. GitHub - Chrilleweb/dotenv-diff: Validate environment variable usage in your codebase GitHub - Lumen-Labs/brainapi2: BrainAPI is a knowledge graph–powered AI memory layer that transforms unstructured data into structured knowledge, enabling intelligent search, recommendations, and contextual memory for AI agents and applications. GitHub - familiar-software/familiar: Let AI watch you work. Familiar lets your AI update its memory, skills, and knowledge by watching your screen. GitHub - skorotkiewicz/rudo: A small, elegant dock for Wayland GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. make sidebar/address bar rounded corner toggleable
Brunelly | AI-Native Development Platform for Engineering Teams
Brunelly · 2026-06-03 · via Show HN


Now in Beta - join the early access programme

Most engineering teams use AI.
Almost none can prove it's working.

Your teams are using AI. Your pipeline is still fragmented. Brunelly is the AI software development platform that connects every stage into one governed, auditable delivery system your engineering organisation has always needed.

One AI delivery platform. Planning, code, testing, reviews, and security orchestrated
end to end. Governed, auditable, and built for engineering teams scaling without losing context.

Full Lifecycle AI delivery

Governed auditable by design

ROI You can actually prove

AI sprint planning and backlog generation for engineering teams

Planning

Backlogs that understand your architecture - not just your brief

Brunelly's AI sprint planning generates structured epics, stories, and tasks grounded in your actual system business goals and technical constraints together, from the very first sprint

AI code generation platform with governed human approval for complex codebases

Development

Code that respects your system - however complex it is

Whether you're building greenfield or extending a brownfield codebase, Brunelly generates pull requests that fit your architecture, patterns, and decisions not a generic template.

Persistent AI context expert chat for software development teams

Expert Chat

A senior tech lead who knows every corner of your system

Ask architecture questions, challenge design decisions, or explore trade-offs with persistent AI context for development teams. Get answers grounded in your project’s history, constraints, and goals not generic output. Your answer.

AI automated test generation for software delivery lifecycle

Testing

Tests written against your system - not a textbook

Generate test suites that reflect how your software actually behaves, the edge cases that matter in your domain, and the quality standards your organisation holds - because Brunelly knows all of it.

AI code review tool with architecture aware security scanning

Review

Reviews that see the full picture - not just the diff

This is governed AI code generation every review informed by your architecture, your security requirements, and the decisions that got you here.

Single source of context

Business goals and technical depth - unified in one place. Every agent, every workflow, every decision informed by the same complete picture.

Greenfield & brownfield

Starting fresh or working with an existing system - Brunelly adapts. It learns your codebase, understands your constraints, and works with what you have.

Gets smarter over time

The more context you give it, the more valuable it becomes. Decisions, patterns, and learnings accumulate - so Brunelly evolves alongside your team and your system.

Built for scale

Designed for SMEs and enterprises with real engineering complexity. Not a tool for side projects - a platform for teams building software that matters.

The cost of lost context

Fragmented tools.
Fragmented delivery.

Every tool switch is a context loss. And in complex systems, lost context means misalignment, rework, and decisions that contradict what came before.

Business goals decided in one tool, code written in another - never truly connected

AI that generates code with no knowledge of your architecture or history

Onboarding new engineers means weeks rebuilding context that should never have been lost

Decisions made in sprint three contradict architectural choices from sprint one

Misalignment between product, engineering, and QA compounds at scale

The Brunelly difference

One context.
Every stage. Always.

Brunelly is the connective tissue your engineering organisation has been missing - the team member who holds everything together and never forgets.

Business and technical context unified - from goal to merged PR

AI that knows your codebase as well as your most senior engineer

New team members onboard faster - Brunelly carries the institutional knowledge

Architectural integrity maintained across every sprint, every feature, every team

Product, engineering, and QA aligned by default - not by meeting

How it works

One context.
Every stage of your software development lifecycle.

Brunelly's agents share a single, persistent understanding of your project - getting smarter with every decision, every sprint, every line of code. The more you use it, the more it knows.

01

Prime it with your project

Connect your repo and define your goals. Brunelly absorbs your architecture, decisions, and business context building a persistent AI context that every agent shares from day one.

02

Plan with precision

Turn goals into structured backlogs that reflect your real architecture AI sprint planning grounded in your actual system, not disconnected templates

03

Build with full awareness

Code generated with full knowledge of upstream decisions your AI software delivery system respecting patterns, constraints, and history. No re-briefing. No drift.

04

Test, review, and evolve

Quality and security checks run with full context across your entire software lifecycle management and every sprint, Brunelly gets smarter.

🧠

Planner Agent

Plans against your real goals and system constraints - not generic best practices.

Planning

Code Agent

Writes code that fits your architecture - because it's learned it deeply.

Development

🔍

QA Agent

Tests aligned to how your system actually behaves, not a generic checklist.

Testing

🛡️

Security Agent

Catches what matters in your system - because it knows what's sensitive.

Security

SMEs

Growing engineering teams

You’re scaling fast, adding engineers, and complexity is growing. Brunelly is a developer productivity tool that keeps your team aligned and your architecture intact as you grow without the overhead of constant re-alignment meetings.

Onboard new engineers faster

Maintain architectural integrity at pace

Scale output without scaling confusion

Enterprise

Large engineering organisations

You're managing complex systems, multiple teams, and years of accumulated decisions. Brunelly becomes the institutional memory that keeps everyone aligned - across teams, across codebases, across time.

Preserve institutional knowledge across teams

Reduce cross-team misalignment and rework

Consistent standards across every codebase

Brownfield

Teams working with legacy systems

Existing systems with years of history, undocumented decisions, and technical debt. Brunelly enables brownfield AI development by learning your codebase from the ground up understanding what’s there before suggesting what should change.

Deep codebase understanding from day one

Modernise without breaking what works

Surface undocumented decisions and patterns

Complex software deserves
an AI that truly gets it.

Give your engineering team the AI native platform they've always needed. Free to start gets smarter the more you use it.

No credit card required · Setup in under 5 minutes · Works with your existing stack