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

Martin Fowler
Martin Fowler
D
DataBreaches.Net
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
The GitHub Blog
The GitHub Blog
Blog — PlanetScale
Blog — PlanetScale
Microsoft Security Blog
Microsoft Security Blog
A
About on SuperTechFans
Vercel News
Vercel News
L
LangChain Blog
B
Blog RSS Feed
Y
Y Combinator Blog
IT之家
IT之家
H
Hackread – Cybersecurity News, Data Breaches, AI and More
GbyAI
GbyAI
V
V2EX
博客园 - 三生石上(FineUI控件)
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
阮一峰的网络日志
阮一峰的网络日志
有赞技术团队
有赞技术团队
D
Docker
V
Visual Studio Blog
aimingoo的专栏
aimingoo的专栏
Last Week in AI
Last Week in AI
月光博客
月光博客

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
Dennis 0.8.5: The Chickens Are Safe, But Now We Need Trus...
crevilla2050 · 2026-05-15 · via DEV Community

🐔 The Chickens Are Still Safe

A few weeks ago, we solved a critical industry crisis:

👉 Chickens were being unnecessarily sacrificed in code transformations.

They were removed from rituals, given a proper coop, and are now attending coding seminars.

Everything seemed under control.

Transformations were deterministic.
Diffs were canonical.
Lineage was clear.

And yet… something was still missing.

🧠 We Can Prove Transformations

Up to this point, Dennis could already answer:

What will change?
What changed?
Is this transformation correct?

Not "probably correct."
Deterministically correct.

That’s a big step forward. But it’s not enough.

❗ The Question That Actually Matters

There is one question that keeps showing up in real systems:

Should I trust this transformation?

Not:

Is the diff valid?
Is the plan reproducible?
But:

Who made this… and do I trust them?
That’s the gap Dennis 0.8.5 closes.

🔐 Trust, Made Explicit

DEX artifacts could already be signed. Now, that signature actually means something.

Dennis 0.8.5 introduces: 👉 Explicit, Inspectable Trust

🧾 Transformations With Receipts

Run:

dennis inspect artifact.dex

And you get more than metadata. You get a Trust Report:

Who signed it
Whether the signature is valid
Whether that identity is trusted
Whether the artifact should be accepted

No assumptions.
No conventions.
No "looks legit to me."

Just a decision.

⚖️ Strict Trust (No Middle Ground)

Dennis now follows a simple rule:

An artifact is accepted only if at least one trusted signature exists.

That’s it.

✅ Trusted → Accepted
❌ Not Trusted → Rejected

Nothing in between.

🧠 Why This Changes Things

We already trust:

  • Commits
  • Builds
  • Containers

But transformations? Those usually come from:

A script someone ran
Somewhere
At some point
Dennis changes that. Now transformations have:

  • Identity
  • Signatures
  • Policy
  • Consequences

📦 Also: Size Matters

Artifacts now track their size end-to-end.

And the result is… almost boring:

They’re tiny.

Which is exactly what you want. Because now:

  • Storing them is trivial
  • Sharing them is cheap
  • Scaling them is realistic

And artifact-based workflows stop being theoretical.

🔄 The Shift

You can feel the evolution now:

Before: Run and hope.
Then: Inspect and verify.
Now: Decide whether to trust.

That last step is the one that matters in teams.

🐔 The Chickens, Revisited

The chickens reviewed the new trust model.

Their feedback:

Fewer rituals
More signatures
Significantly reduced anxiety

Legal is still involved. The chickens remain cautiously optimistic.

🚀 Try It

Dennis 0.8.5 is live.

  1. Upgrade:

pip install dennis-forge --upgrade

  1. Create your key (if you haven't):

dennis keygen

  1. Set up trust: Approve your key so Dennis knows to trust artifacts signed by it:


dennis key approve ~/.dennis/keys/default.pub --signer ~/.dennis/keys/default.key

  1. Apply with strict trust:

dennis apply artifact.dex --strict

🔗 Dennis on GitHub 🔗 The Forge (SaaS)

Final Thought
We made transformations:

  • Visible
  • Deterministic
  • Verifiable

Now we’re making them:

Trustworthy

And that’s when they stop being tools… and start becoming something you can rely on.

How do you currently handle trust in your refactoring workflows?
Manual review? Signed commits? Something else?
Curious how others approach this.