惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

小众软件
小众软件
博客园_首页
M
MIT News - Artificial intelligence
雷峰网
雷峰网
GbyAI
GbyAI
博客园 - 叶小钗
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
V
V2EX
S
SegmentFault 最新的问题
H
Help Net Security
Apple Machine Learning Research
Apple Machine Learning Research
H
Hackread – Cybersecurity News, Data Breaches, AI and More
博客园 - 【当耐特】
V
Visual Studio Blog
月光博客
月光博客
G
Google Developers Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
腾讯CDC
云风的 BLOG
云风的 BLOG
美团技术团队
Microsoft Azure Blog
Microsoft Azure Blog
A
About on SuperTechFans
有赞技术团队
有赞技术团队

Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
Brunelly | AI-Native Development Platform for Engineering...
Brunelly · 2026-06-03 · via Hacker News - Newest: "AI"


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