Leading EDJE

Leading EDJE We unlock potential through technology by crafting bespoke solutions that positively disrupt and grow your business

At Leading EDJE, we stand firmly on the conviction that technology represents the most powerful tool for transforming businesses and unlocking human potential. Our passionate team sees beyond code to recognize technology's true purpose: empowering people to achieve what was once impossible. As dedicated strategists, innovators, and partners in your success journey, we don't just solve problems—we craft bespoke solutions that positively disrupt your business. This collaborative approach ensures we're architecting comprehensive strategies that create sustainable competitive advantages, fundamentally enhancing what your organization can accomplish in today's rapidly evolving digital landscape.

Invested in AI coding tools but delivery still feels stuck? You're not alone.Erica Krumlauf, Founding Partner and COO at...
09/15/2026

Invested in AI coding tools but delivery still feels stuck? You're not alone.

Erica Krumlauf, Founding Partner and COO at Leading EDJE, shares a hard truth: AI doesn't fix broken delivery processes. It exposes them. The fix is the scaffolding around the tools.

Three shifts that unlock real speed:
🏎️ Product Owners give constant, real-time input, like a navigator in a rally car.
🔧 AI-written code flows straight into automated testing and deployment, so you don't just move the bottleneck downstream.
📊 Token costs get tied to specific features, so you can actually prove ROI.

Read how it works:
https://blog.leadingedje.com/post/why-ai-tools-arent-making-you-faster.html

Stepping into a new season with a fantastic lineup of birthday celebrations! 🍂✨🎂 Elliot Blair🎂 Jeff Sheen🎂 Lucas Cline🎂 ...
09/14/2026

Stepping into a new season with a fantastic lineup of birthday celebrations! 🍂✨

🎂 Elliot Blair
🎂 Jeff Sheen
🎂 Lucas Cline
🎂 Matt Eland
🎂 Landon Cunningham
🎂 Tyler Krumlauf

We’re so grateful for the dedication, energy, and heart this group brings to Leading EDJE every day. Wishing you all a fantastic birthday month and a wonderful start to autumn! 💙💚

Show these awesome EDJers some love in the comments below! ⬇️

Six months into our AI-assisted development initiative, the biggest surprise wasn't about speed.Building an internal app...
09/14/2026

Six months into our AI-assisted development initiative, the biggest surprise wasn't about speed.

Building an internal app with spec-driven frameworks, we shipped the first version dramatically faster than traditional development would have allowed. That speed is what exposed the real problem: our requirements didn't fully capture what the product owner expected.

"The biggest productivity gains weren't in writing code faster. They came from how quickly we could learn, review, and adjust." — Bryce Amacker, Principal Solutions Engineer

So we built this around review frameworks, not just faster generation. The tools got faster. The judgment still has to keep up.

https://www.leadingedje.com/ai-development

September is here, which means it’s time to spotlight Alex Kowalczyk! 🥂Alex, thank you for continuously bringing top-tie...
09/11/2026

September is here, which means it’s time to spotlight Alex Kowalczyk! 🥂

Alex, thank you for continuously bringing top-tier effort, collaboration, and passion to everything you do. Leading EDJE wouldn't be the same without you. Drop some love in the comments below to help us celebrate his EDJE-Versary! 💚

Before any AI development investment, there's a question worth answering first: what does your environment actually supp...
09/11/2026

Before any AI development investment, there's a question worth answering first: what does your environment actually support?

Not what the tools can do in general - what they can do, reliably, in your specific environment.

A structured diagnostic grades AI development readiness across five dimensions:
Codebase Health - Is the codebase structured in a way that AI agents can work in without generating contextually wrong output?
Data Privacy - Are there data flows, credentials, or proprietary constraints that need to be accounted for before AI generation begins?
Team Skillset - Do your engineers have the context engineering and review capabilities to direct AI effectively?
Architectural Debt - Are there legacy decisions that create brittleness risk when AI-generated code is integrated?
Governance - Are there review frameworks, integration standards, and context discipline in place to catch what the tools miss?

The output is a readiness roadmap. The goal isn't to block progress - it's to make sure when you scale AI development, you're scaling on solid ground.

https://www.leadingedje.com/ai-development

Remember Flappy Bird? A local AI agent just brought it back, along with the 2013 dungeon crawler Delver.Zack Lowery gave...
09/10/2026

Remember Flappy Bird? A local AI agent just brought it back, along with the 2013 dungeon crawler Delver.

Zack Lowery gave his self-hosted agent, Echo, running on Qwen3.8 27b, one task: turn two abandoned Android games into signed, modern APKs that install on current phones. It took about two working days.

Three takeaways:
🤖 It ran entirely on a local model on Zack's own hardware.
🔧 The old-app blockers (32-bit code, outdated targets, restricted storage) each had a fixable root cause.
✅ Early failures caught real bugs, and every patch gets verified in CI.

Read how it worked:
https://blog.leadingedje.com/post/resurrecting-2013-with-qwen3-8-27b.html

"Agentic development" gets used to describe a lot of things right now.Here's a precise definition - and why it matters f...
09/09/2026

"Agentic development" gets used to describe a lot of things right now.

Here's a precise definition - and why it matters for engineering leaders making real decisions.

AI assistance: Reactive. Single-step. Operates at the keystroke level. The developer is still the primary author using autocomplete.

Agentic development: AI takes a goal, breaks it into steps, executes, evaluates its own output, and iterates. The developer shifts from author to director and reviewer.

That shift is real - and it's why the productivity claims around agentic development are larger than what you get from standard code completion. It's also why the governance requirements are significantly higher.

The discipline behind making this work is context engineering: structuring what goes into the AI generation process so output is aligned with your system's specific constraints. Agentic development without context discipline produces output that looks right and isn't.

Teams adopting agentic tools without governance and context discipline are generating faster output with less visibility into whether it's right. Check out this example of creating governance mechanisms for Spec Kit with Claude Code:

https://blog.leadingedje.com/post/fiveiterationsofsdd.html

One week from today, at one in the afternoon, at our Dublin office. Registration closes Thursday.Three hours: a small ap...
09/08/2026

One week from today, at one in the afternoon, at our Dublin office. Registration closes Thursday.

Three hours: a small application, then a small game, then AI pointed at a real brownfield codebase. Short demos between the builds on tooling configuration, model selection, subagents, context engineering and permission optimization. Our engineers are next to you when it breaks.

Three things to have sorted before you walk in: a laptop you can develop on with local admin rights, an AI coding subscription you already use, and a git repo you know well enough to catch a wrong answer.

One thing you leave with: a project that runs.

Seventy five dollars. No refunds. After Thursday, registration is closed.

https://tixfox.co/e/1jLgbPSNhu

Most AI coding failures trace back to detailed requirements that nobody wanted to write.The code compiles. Tests pass. I...
09/08/2026

Most AI coding failures trace back to detailed requirements that nobody wanted to write.

The code compiles. Tests pass. It's still wrong for the system it landed in. Looks right. Isn't.

Frameworks like these close that gap:
Spec-Kit, before. Scattered requirements in, implementation-ready spec out.
GSD, during. Review and integration against your architecture.
BMad, across the full SDLC.

Together they move the engineer from author to director. A harder shift than most teams plan for. We're running this on a live production build, alongside 1.5M lines of brownfield code, tracking cycle time, defect rate, rework, and developer experience.

If your team is somewhere in the middle of this, talk to us about your environment.

Full approach: https://www.leadingedje.com/ai-development

At some point recently, someone in your organization asked what you're doing about AI in your development process.Maybe ...
09/07/2026

At some point recently, someone in your organization asked what you're doing about AI in your development process.

Maybe it was your CEO. Maybe it came up in a board presentation. Maybe it was a client asking whether their development partner was keeping up.

The honest answer for most engineering teams right now: we've adopted some tools, but we haven't built the governance to use them reliably at production quality.

That's the "Governance Gap". And most teams on the wrong side of it don't know it yet.

Here's the pattern: AI tools accelerate output. Teams move fast. Code compiles and passes tests. And then six months later, someone is untangling a set of architectural decisions that made perfect sense in the abstract and were wrong for the specific system they were deployed into.

The tools aren't the problem. The missing piece is the operating structure - requirements discipline, review frameworks, context engineering - that makes AI output reliable rather than just fast.

That operating structure is what we've been building for the past six months and we want to share what we've found.

https://www.leadingedje.com/ai-development

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Dublin, OH
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