Codica

Codica We build digital products with advanced web-experience that bring your vision to life.

Only 6.4% of median features drive 80% of all clicks. Even best-in-class products see the adoption of only 15.6% of feat...
13/10/2026

Only 6.4% of median features drive 80% of all clicks. Even best-in-class products see the adoption of only 15.6% of features. Pendo’s findings show most features go unused in products.

That’s why MVP feature prioritization matters more than including just one feature to make the product “complete”.

Here’s how we would approach it regarding the best standards and practices in the industry:

🔹 Start with the core value of your MVP: Define the main problem your product must solve.

🔹 Separate must-haves from nice-to-haves: Stick to features that test your core assumptions and move the rest to the backlog. Don't throw features away; their status can change.

🔹 Use the right framework: Apply Feature Buckets for structure, ICE for pre-launch ranking, RICE once real usage data is available, and the Kano Model to discover user satisfaction.

🔹 Test the riskiest assumption first: Don’t prioritize features just because they’re quick to build.

🔹 Make costs visible: Break estimates down by feature so every scope change has a clear trade-off.

The hardest part isn’t ranking features. It’s understanding and explaining why some good ideas need to wait.

This approach works especially well for startups and founders building their first MVP with limited time and budget.

What methods have worked for you when deciding which features to build first? Let’s discuss in the comments.

What happens when a technical team joins an already established product?Our CEO Dmytro shares the experience of working ...
12/10/2026

What happens when a technical team joins an already established product?

Our CEO Dmytro shares the experience of working on Dan.com, where the Codica team joined an existing product as a Team Extension.

The focus is on real engineering work: integrating teams, working with an existing architecture, combining expertise, scaling engineering, and preparing the product for technical due diligence.

In the article:
📌 how to integrate a Team Extension into an established team;
📌 how to work with legacy code and an existing architecture;
📌 how to combine the expertise of external and internal teams;
📌 how to scale engineering alongside the product;
📌 how to build effective Knowledge Transfer processes.

From the initial team integration to technical readiness — the Dan.com story.

Today is all about celebrating, appreciating, and simply saying thank you! It’s been exactly 4 years since Dmytro joined...
10/10/2026

Today is all about celebrating, appreciating, and simply saying thank you! It’s been exactly 4 years since Dmytro joined our team! 🎉

With you around, we know we’re in safe hands. Your calm and steady approach has saved the team more than once. Whenever you take on a task, we know it’s under control and will be sorted out just the way it should be.

Wishing you great results, smooth tasks, and plenty of satisfaction from your work every day. Thank you for always being there to support the team and have our backs when needed.

Show Dmytro some love and drop a few likes in the comments! 👇

Keeping up with AI is becoming a full-time job in itself.I’m Max, a Tech Lead at Codica. A big part of my role is filter...
08/10/2026

Keeping up with AI is becoming a full-time job in itself.

I’m Max, a Tech Lead at Codica. A big part of my role is filtering the noise: figuring out which new AI capabilities are actually viable for production-ready software, and which are just marketing hype.

When building products (especially balancing the rapid evolution of tools with the stability of frameworks like Ruby on Rails), you don’t need to track every single model release. What matters is understanding the architectural and engineering decisions behind them.

The most efficient way I’ve found to stay informed is listening to conversations with the people who are actually building these technologies.
Here are three high-signal AI podcasts I regularly recommend to fellow engineers and tech leads:

🎙️ 1. Latent Space — The AI Engineer Podcast

This is the definitive show for the “Software 3.0” era. It skips the surface-level talk and dives straight into the technical depth of AI agents, code generation, and GPU infrastructure. It helps connect bleeding-edge developments with the engineering choices that eventually impact real-world apps.

🎙️ 2. Practical AI (by Changelog)

As a Tech Lead, my main question right now is: How do we take something that works in a demo and make it reliable, scalable, and secure for production? This podcast focuses exactly on that. It covers enterprise adoption, LLM security, cost management, and maintainability.

🎙️ 3. The TWIML AI Podcast

Hosted by Sam Charrington, this one provides a crucial macroeconomic and foundational view of ML/AI landscape. It covers reasoning models, data infrastructure, and systemic shifts. It helps me look past individual product cycles and see where software architecture is heading next.

💡 My takeaway for tech leaders:
Don’t stress about missing every announcement. Find the specific engineering problem you are trying to solve today, pick an episode that covers it, and extract actionable ideas for your team.

👇 I’ve dropped the direct links to all three podcasts in the first comment below.
What AI podcast, technical newsletter, or engineering resource has been most valuable to your workflow lately? Let’s share in the comments.

Why is SaaS multi-tenant architecture feasible today?SaaS multi-tenant architecture is organized in such a way that it d...
06/10/2026

Why is SaaS multi-tenant architecture feasible today?

SaaS multi-tenant architecture is organized in such a way that it dramatically lowers costs, speeds up scaling, and simplifies maintenance. 🚀

If you choose multi-tenant SaaS architecture for your project, here is our advice on how to approach it efficiently:

🔹 Plan isolation early: Customer data should be separated before development begins. This helps you comply with the latest data protection standards and maintain necessary privacy between tenants.

🔹 Choose the right model: AWS divides the SaaS multi-tenant models into pool, bridge, silo, and hybrid approaches. Choose based on security, cost, growth, and your project's size.

🔹 Add security layers: Use tenant IDs, row-level security, authorization checks, data isolation, and encryption. Your SaaS must be protected at all five layers, as none of them is trusted alone.

🔹 Prepare for growth: Mitigate the risk of noisy neighbors, ensure database guardrails, isolate background processing, and use tier-based placement.

🔹 Test isolation continuously: Make sure one tenant can never access another tenant’s data. This not only protects your tenants, but also makes your SaaS compliant.

If we should share one important thing about multi-tenancy, it's this: architecture decisions aren’t only technical. Keep in mind your customer base will grow, compliance requirements will change, pricing will evolve, and future integrations will shape the right solution.

This approach works best for SaaS founders and teams planning to serve different businesses with varying security and scalability needs.

What strategies have worked for you when designing multi-tenant SaaS architecture? Share your experience in the comments.

When your CEO writes awesome digests, but the mascot gets the merch for it... 😄Every month, our CEO Dmytro Chekalin puts...
05/10/2026

When your CEO writes awesome digests, but the mascot gets the merch for it... 😄

Every month, our CEO Dmytro Chekalin puts together Ruby Digest on DOU — a unique digest about Ruby & Rails, written in Ukrainian. And the other day, the DOU team sent us a lovely thank-you note along with a branded T-shirt 💙

Since our CEO is a very modest guy, our mascot Mr. Cody was the one to try it on. Looks like the T-shirt fits him perfectly, and Cody is already happily helping us keep an eye on the internet for the latest updates 👀 (just hoping he won’t start eyeing the CEO’s chair next).

Thank you, DOU, for the warm feedback — it really means a lot and gives us a huge boost! And if you’re not reading Ruby Digest yet, subscribe to DOU so you don’t miss the latest issue 🇺🇦

4 years at Codica! 🎉 Let’s celebrate our Ruby Developer, Andrii!Over these four years, you’ve grown tremendously as an e...
03/10/2026

4 years at Codica! 🎉 Let’s celebrate our Ruby Developer, Andrii!

Over these four years, you’ve grown tremendously as an engineer and taken on plenty of challenging projects. We know one thing for sure: when you’re on the case, everything gets done properly and reliably. Thank you for making it so easy to work together and for being such a great part of the team.

Wishing you smooth coding, hassle-free deployments, and plenty of support along the way. But most importantly, we hope you continue to enjoy what you do every day.
We’re so happy to have you with us!

Leave Andrii some likes and warm wishes in the comments! 👇

Today is a special day for us — it’s been exactly 4 years since Oleksii joined our team! 🤍Sales can be a stormy ride, bu...
03/10/2026

Today is a special day for us — it’s been exactly 4 years since Oleksii joined our team! 🤍

Sales can be a stormy ride, but Oleksii has a superpower: he knows how to stay completely calm and confident, even when everything around him is on fire. Over the years, he’s tackled plenty of challenging tasks and become someone we can always count on.

Oleksii, thank you for being with us, for your energy, and for making it so incredibly comfortable to work with you. Here’s to many more great deals and lots of satisfaction from everything you do. We’re lucky to have you on the team!

Leave some love and congratulations for Oleksii in the comments! 👇

October 1 — a day of our boundless gratitude to every person who protects us.Thank you for every morning, for the opport...
01/10/2026

October 1 — a day of our boundless gratitude to every person who protects us.

Thank you for every morning, for the opportunity to work, to be home, and to hug our loved ones. Our deepest respect goes to everyone who is serving and defending our country. The memory of those who are no longer with us will live in our hearts forever. 💔

Take care of yourselves and come back home safely.

Glory to Ukraine! Glory to the heroes! 🇺🇦

A failed software project doesn’t always need a full rebuild. Sometimes, the fastest way forward for a founder and a tea...
29/09/2026

A failed software project doesn’t always need a full rebuild. Sometimes, the fastest way forward for a founder and a team is figuring out what can still be saved. 🚀

At Codica, when we take over a troubled project, we focus on 5 things:

🔎 Audit what actually works. When Jira or the original plan says “80% is complete”, the project still needs to be checked.
🧩 Split the codebase into four groups: keep, repair, replace, or remove.
🎯 Reduce the scope to the smallest commercially useful release instead of trying to finish everything at once.
🛠️ Use a price tag on technical debt by connecting it to real business impact.
📦 Start with one predictable milestone to prove the new delivery process works.

What we've learned is as follows: changing the development team won’t fix a broken process by itself. If priorities, ownership, or requirements stay unclear, the same problems can come back.

This approach works especially well for founders and product teams dealing with an unfinished product, missed deadlines, unreliable delivery, or a difficult vendor transition.

Has your project felt like it needs rescuing? What has worked for you when rescuing a software project?

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