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Should You Let Them Build It in Rails?

Wed, 23 Sep 2026 00:00:00 +0000

Somebody has proposed building your product in Ruby on Rails. You cannot evaluate that recommendation yourself, and the person making it has an interest in your saying yes.

We are a Rails shop, so we have that interest too. Here is the answer we would give you anyway.

You are not going to be able to judge the framework. Nobody sells you a stack decision you can verify, and the comparisons that circulate are mostly unusable, including the ones that favour us.

Autonomous Agent Teams Are Real. Measured Success Runs 13% to 59%.

Wed, 09 Sep 2026 00:00:00 +0000

You can stand up a team of autonomous agents this afternoon. Whether it produces anything you would ship is a separate question.

A group at UC Berkeley collected execution traces from seven multi-agent frameworks and published how often each one finished its task correctly. Six of them, on their own benchmarks:

Framework	Success on its own benchmark
AG2	59.0%
MetaGPT	40.0%
Magentic-One	38.0%
ChatDev	33.3%
HyperAgent	25.3%
AppWorld	13.3%

If you go and check that figure, it is captioned “Failure rates” - I have flipped it, because the chart’s own legend labels those segments Success. The caption warns against reading it as a ranking: “Performances are measured on different benchmarks, therefore they are not directly comparable.” AppWorld and AG2 are not attempting the same thing. The caption also names the models, GPT-4o and Claude-3.7-Sonnet, which is not what you would wire up today. Whether the failures got better when the models did is unmeasured.

Have an App Idea? Here's Where to Start

Wed, 09 Sep 2026 00:00:00 +0000

You have an app idea, but you’re stuck before the first step. Should you find a developer, learn an AI tool, or write down everything the app needs to do?

Start by describing one task someone should be able to complete. A request like “build an app for freelancers” leaves too much undecided: which freelancer, what problem, and what should happen when they open it?

You can work through those decisions in ordinary language. For your first attempt, aim for a short description of the problem and a few rough screens for the approach you choose, then use an AI builder to turn them into a clickable demo.

"Generate Then Verify" Moved Your Work. It Didn't Remove It.

Wed, 02 Sep 2026 00:00:00 +0000

Let the model write the code, then you check it. That is the advice, and four out of five teams who took it now spend more time in review than they did before.

Somebody measured where the hours went #

Harness surveyed 700 engineering practitioners and managers at large enterprises across five countries this April, through Sapio Research:

81% say developers spend more time in code review since adopting AI coding tools, with 28% reporting a significant increase of more than 30%.

Your AI Reviewer Approved It. Did It Read Its Own Report?

Fri, 28 Aug 2026 00:00:00 +0000

We built a code reviewer out of AI agents. Three specialists read a change in parallel, one for security, one for performance, one for style, and a fourth agent merges what they found into a single review.

The diff we gave it interpolated a customer name straight into a SELECT. The reviewer found the injection and described it accurately.

The same response said approve.

If somebody has ever told you the AI reviewed it, the sentence you were handed was the verdict. The verdict is the part that was wrong.

Your Dev Shop Says the Code Was Reviewed. By What?

Wed, 26 Aug 2026 00:00:00 +0000

“It’s been reviewed” used to mean a person read it.

That is no longer a safe assumption, and the change happened fast enough that most founders never got told. GitHub published the number in March: Copilot code review usage “has grown 10X, now accounting for more than one in five code reviews on GitHub.” If your shop works on GitHub, there is a reasonable chance the reviewer on your last release was software.

How to Audit Content You Didn't Write

Sat, 22 Aug 2026 00:00:00 +0000

There is no Hanover Institute for Public Policy. There is a website carrying more than a hundred reports under that name - footnotes, tables of contents, the flat neutral register that policy writing has - and behind it a marketing firm working on a government contract.

NewsGuard analyst Alice Lee connected it to Piro, Inc., reported by Responsible Statecraft; Politico first reported the Department of Justice filing, under which Piro has received $900,000 from the Israeli government for its work. GPTZero flagged all twelve sampled articles as AI-written - eleven with high confidence, one moderate.

What Senior Devs Catch That AI Misses

Sat, 22 Aug 2026 00:00:00 +0000

Here is a change we caught before it merged. It is small, it is plausible, and it is wrong in a way you cannot see without knowing Rails.

- Propshaft replaces Sprockets as the default asset pipeline in Rails 8, and the
- difference is dramatic: in our experience, build times drop from 45-60 seconds
- to under 5 seconds for medium-sized apps.
+ Propshaft replaces Sprockets as the default asset pipeline in Rails 8. It drops
+ the transpilation and concatenation stages entirely, so asset precompilation
+ stops being a build step that scales with your asset count.

The deletion is correct. That timing figure had no measurement behind it and deserved to go.

Your Link Checker Is Probably Checking Nothing

Sat, 22 Aug 2026 00:00:00 +0000

A link checker reporting zero broken links is telling you one of two things, and the output looks identical either way: it inspected everything and found nothing, or it inspected almost nothing. Ours had been doing the second since the day it shipped.

Here is the run that caught it:

🔍 149516 Total 🔗 31937 Unique ✅ 15642 OK 🚫 0 Errors 👻 133874 Excluded

133,874 excluded of 149,516. Only 15,642 links were ever looked at, and the gate had been reporting that as a pass on every pull request since the day it shipped.

RubyLLM vs Langchainrb for Rails

Fri, 21 Aug 2026 00:00:00 +0000

ruby_llm 1.16.0 ships chat.rb, agent.rb, embedding.rb, cost.rb, a model registry and an ActiveRecord integration. langchainrb 0.19.5 ships vectorsearch/, chunker/, loader.rb, output_parsers/ and evals/.

ruby_llm talks to models. langchainrb finds your documents first, then hands them to a model. Work out which of those you need and the rest of the choice gets easy.

APM tool	Best for	Monthly cost	Laravel fit
Scout APM	Laravel-first teams, startups	$39-$299	Excellent (zero-config auto-instrumentation)
New Relic	Enterprise, multi-service infrastructure	$99-$5,000+	Good (needs configuration)
Datadog	DevOps teams, unified observability	$31-$3,000+	Good (multiple packages)
Blackfire	Deep profiling, dev/staging optimization	$0-$599	Excellent (Laravel-specific features)

Agency	Best for	Headquarters
Randstad	Generalist staffing across industries	Atlanta, GA (US HQ)
Kelly Services	Temporary and contract staffing	Troy, MI
Insight Global	Tech contract and contract-to-hire	Atlanta, GA
Robert Half	Finance, accounting, and admin roles	Menlo Park, CA
Aerotek	Industrial, engineering, and skilled trades	Hanover, MD
Korn Ferry	Executive search and leadership hiring	Los Angeles, CA
Aquent	Creative, marketing, and design talent	Boston, MA

Project Type	Timeline	Cost Range	Ideal For
Simple MVP	2-4 months	$15,000 - $50,000	Startups, proof of concepts
E-commerce Platform	4-8 months	$50,000 - $150,000	Online stores, marketplaces
SaaS Application	6-12 months	$75,000 - $250,000	Software as a service products
Enterprise Solution	12+ months	$200,000 - $1,000,000+	Large-scale business systems

Receive Valuable Information from Our Blog Page on JetThoughts

Should You Let Them Build It in Rails?

Autonomous Agent Teams Are Real. Measured Success Runs 13% to 59%.

Have an App Idea? Here's Where to Start

"Generate Then Verify" Moved Your Work. It Didn't Remove It.

Somebody measured where the hours went #

Your AI Reviewer Approved It. Did It Read Its Own Report?

Your Dev Shop Says the Code Was Reviewed. By What?

How to Audit Content You Didn't Write

What Senior Devs Catch That AI Misses

Your Link Checker Is Probably Checking Nothing

RubyLLM vs Langchainrb for Rails

What RubyLLM Retries, and For How Long

Debugging RubyLLM Agents in Rails

Evaluating LLM Agents in Rails

Multi-Agent LLM Pipelines in Rails

Ruby 4.0 YJIT vs ZJIT: Performance Guide

Ruby Fibers for LLM Streaming in Rails

RubyLLM in Rails: Chat, Tools, Streaming

Migrate a Lovable or Replit App to Rails

Rails 7 End of Life: Pick Your Exit

Rails CVE-2026-66066: Patch Isn't Enough

Kamal 2 Multi-Server Deployment Guide

Cheap Developers Are Expensive Without Review

Asked for an Admin Panel, Got a Spaceship

Dev Shop Contract: Who Owns the Code?

Retros Are Your Transparency Tool

Switch Dev Shops Without Losing Progress

What SLAs to Require From Your Dev Shop

Solid Queue: Retries, Concurrency, Monitoring

Falcon in Production: Tuning and Benchmarks

Vibe Coding Is Disposable. Stop Shipping It.

AI Code Has an Owner Problem

How We Replicated a Full Product Team With Claude Code Agents

Refactor Without Breaking Tests: The 3-Line Discipline in Ruby

TDD in Ruby: A Step-by-Step Guide

TDD Without the Overkill: Why Lightweight TDD Ships Faster

Rails CVE-2026-41316: Detection and Patch

The gadget chain #

The Quality Tax: AI MVPs Cost More to Fix

9 Seconds: An AI Agent Wiped a Live SaaS

5 Questions Before Hiring a Dev Shop

Question 1: “Can I see a sample weekly report?” #

Rails 8.1: Subscribe to Events, Skip Logs

47 Startups Failed the Same Way

The 25-month autopsy #

8 Red Flags You Hired the Wrong Dev Shop

Founder's Guide to Hiring a Dev Shop in 2026

Vibe Coding Crisis: Why AI Code Breaks

Active Job Continuations in Rails 8.1

Solid Trifecta: When to Keep Redis in Rails 8

How to Fire Your Dev Shop (Safely)

Ruby on Rails Performance Optimization Patterns for 2026

Rails `has_secure_password` with Argon2: Complete Migration Guide

JetThoughts Named Among the Top Web Development Agencies by Techreviewer

What we build #

Async-First Remote Engineering Teams: Adapting XP Practices for Modern Distributed Work

The Async-First Remote Challenge #

How Technical Leaders Handle Unrealistic Deadlines in SaaS (Without Burning Out the Team)

Django Technical Debt Cost Calculator & Elimination Strategy

Rails 8 Deployment with Docker: Production-Ready Configuration Guide

Django 5.0 Enterprise Migration Guide: Production Deployment Strategies

Hotwire Turbo 8 Performance Patterns: Real-Time Rails Applications

Laravel + Datadog APM: Setup, Cost, and 3 Alternatives

Laravel 11 Upgrade Guide: Step-by-Step Migration

Propshaft vs Sprockets: Complete Rails 8 Asset Pipeline Migration Guide

Rails 8 Authentication Generator: Complete Migration from Devise

Rails 8 Solid Cache Performance: Complete Migration from Redis

LangGraph vs CrewAI vs AutoGen: Which AI Agent Framework? (2026)

TL;DR #

Ruby LangChain Testing Guide 2025 | RSpec + WebMock

Elixir AI Integration Tutorial: Complete Guide 2025

Laravel AI Integration Tutorial: Complete Guide 2025

Building RAG Applications in Rails 7.1+ with pgvector: Complete Guide

Cost Optimization for LLM Applications: Managing Token Budgets and Scaling Efficiently

CrewAI Hierarchical Agents: Manager-Worker Pattern

TL;DR #

From Prototype to Production: Scaling LangChain and CrewAI Applications in Enterprise Environments

LangChain Architecture Deep Dive: Building Production-Ready AI Agent Systems

The Production Gap Challenge #