Devs Core

Devs Core builds Governed AI Agents that work inside the systems you already run — with permissions you control.

10/28/2026

We’re exhibiting at Bangladesh AI Business Summit 2026!

Join the Devs Core team to explore how AI agents can work inside your business systems—with human approval for changes and a clear record of every action.

Come see Ware, our interactive warehouse and factory simulation, and tell us which process you’d like to automate.

📍 Booth EXB-60 · Harmony Zone
📅 5 November 2026
🏛️ Bangladesh-China Friendship Conference Center (BCFCC)

Register to visit: https://aisummit.dhakachamber.com/expo/125/

We look forward to meeting you!

10/25/2026

Likeness is no longer an ethical debate or a reputational dispute handled after the fact. It is shifting directly into statutory intellectual property compliance.

In Denmark, Culture Minister Jakob Engel-Schmidt proposed amending the Danish Copyright Act (Ophavsretsloven) to give individuals statutory ownership over their likeness, face, and voice against unauthorized AI cloning, establishing statutory takedowns and fines. In the United States, Tennessee enacted the ELVIS Act, effective July 1, 2024, classifying voice as a property right alongside name, photograph, and likeness. At the federal level, the bipartisan NO FAKES Act proposal would establish exclusive rights over digital replicas in sound recordings and audiovisual works.

When unauthorized generation carries direct copyright or property liability, probabilistic guardrails do not guarantee compliance. A prompt instruction like "do not generate without permission" fails because models drift, jailbreaks happen, and prompts carry zero legal standing.

Compliance belongs in the software architecture. If an enterprise workflow generates synthetic media or handles digital identity, governance must live in the access layer outside the model.

That requires three concrete controls:
1. Scoped permissions: tools and generation endpoints are restricted to allow-listed source assets.
2. A reviewed queue: any pipeline that outputs media or updates records halts until a designated person reviews the asset and verifies consent.
3. Detailed audit logging: recording who initiated the call, what ran, what was returned, and which named reviewer signed off.

The rule of thumb: If an agent action carries compliance risk, the model should never have the final click.

At Devs Core, we build custom-coded AI agents and automations that plug into your existing systems, with 100% source code ownership handed over in your repository.

Explore our governed agent architecture services on our website. Link is in the comments.

How is your team handling consent and approval before AI-generated assets leave your systems? 👇

10/24/2026

The standard advice for securing an AI agent is to wrap it in a secondary guardrail model or add stricter prompt instructions.

Most teams start there. They deploy an evaluation prompt or a lightweight secondary model to police the primary agent before it touches internal APIs. It feels intuitive, but it rests on a flawed premise.

In production, probabilistic models cannot validate probabilistic models. When an adversarial prompt injection or malformed instruction bypasses your system prompt, a secondary LLM faces the exact same ambiguity. Soft instructions do not create a security boundary.

That is why engineering teams are shifting toward deterministic tool-call firewalls, runtime sandboxing, and policy-as-code frameworks. The Open Policy Agent documentation describes this as decoupling policy enforcement points from policy decision points, evaluating structured JSON payloads against deterministic rules before any external tool executes. Instead of hoping a model behaves, you inspect the exact action, argument schema, and spend threshold at the boundary.

At Devs Core, we build governed AI agents by placing governance squarely in the access layer rather than the model. In practice, this runs on three engineering mechanisms:
• Scoped permissions per system and operation, so an agent reading records cannot trigger an unauthorized mutation.
• A reviewed write queue that routes any change to a system of record to a human operator for sign-off before ex*****on.
• A full audit log capturing who requested the action, what arguments were sent, and who approved it.

A reliable rule of thumb: never trust a prompt to enforce a permission. Enforce policy where the code executes.

Explore our access layer package for production agents on our website. Link is in the comments.

Where does your engineering team currently draw the boundary between automated tool ex*****on and required human approval? 👇

10/23/2026

Today we talked with a founder in Malaysia whose team builds smart automation and workforce management tools for manufacturing plants.

We joined him to discuss a challenge industrial operations face everywhere: floor systems collect rapid telemetry, but connecting automated ex*****on into backend ERPs stalls.

Plant floors generate fast operational signals—line statuses, worker schedules, and equipment states. But backend systems of record, like SAP Business One or Microsoft Dynamics, require rigid transactional updates.

When teams attempt to let AI agents bridge this gap—reconciling work orders, updating bills of materials (BOM), or logging inventory commits—the operational risk is severe. Direct model access risks hallucinated schema mapping, non-idempotent API actions, and unverified data mutations that corrupt inventory records.

An AI agent should never have direct access to transactional databases. It requires a governed ex*****on layer.

Here is how we structure governed AI integrations at Devs Core:

• Scoped tool firewalls: Permissions are set per system and per operation, not per model. A dedicated connector exposes strictly named operations and nothing beyond them.

• Two-speed ex*****on: Analytical queries run at machine speed. Anything that changes a system of record routes to a human review queue.

• Full delta visibility: The review queue shows the exact change in full—the record, the field, the old value, and the new one. A supervisor approves or rejects before any write commits.

• Complete audit logs: Every call logs who asked, what ran, what came back, and who approved it.

Unattended write-back into live financial and inventory records is not our starting position. It is switched on later, per operation, once the log has earned it. For an unfamiliar ERP, we prove the integration in a sandbox before any build is quoted.

Where does the handoff between shop floor automation and your ERP break down today? 👇

10/21/2026

Most teams deploying AI agents still treat system prompts like security rules: "never reveal customer data" or "never alter an invoice." But telling a probabilistic model to behave is not a security control.

Because language models process instructions and data in the same context, indirect prompt injection can hijack agent behavior the moment untrusted data enters the prompt. In fact, NIST recorded 70 CVEs matching prompt injection in a 120-day window.

Security must live in deterministic code outside the model. At Devs Core, we build scoped connectors where permissions are set per system and per operation. Queries execute at machine speed, but any operation that writes to a database routes directly to a human review queue with old and new values clearly visible.

How does your team protect internal databases from unverified agent actions?

10/16/2026

Most founders have no idea whether ChatGPT can even read their website.

We kept finding the same three problems on client sites:

→ AI crawlers blocked in robots.txt by accident, usually left there by a template or plugin
→ Pages built in JavaScript, so an AI crawler sees a blank page
→ Content that is readable but never gets quoted, because nothing on the page is written to be cited

Ranking on Google tells you nothing about any of this.

So we built AI Visibility Checker and made it free. It audits your whole site for SEO, AI crawler access and agent readiness. Then it checks whether ChatGPT, Claude, Gemini and Perplexity actually mention you, and tells you how to fix what it finds for the platform your site is built on.

Free. Open source. No signup.

It’s live on Product Hunt today. I’m not asking for votes. Run it on your site and tell me what it got wrong, because that’s the feedback I need most.

Please share your feedback here:
https://www.producthunt.com/products/ai-visibility-checker-8?utm_source=other&utm_medium=social

10/14/2026

Day one at the Selangor International Business Summit 🇲🇾

Today we were at EMB 2, Hall 2, Kuala Lumpur Convention Centre, alongside our partner Brain Station 23. What a day.

We spent it walking the floor and talking with people from manufacturing, distribution, trade, property, education and more. The industries were different, but one story kept coming up. Most of these businesses already use good software: an accounting system, an ERP, a CRM. The expensive work happens in the gaps between those systems. Orders get re-typed from WhatsApp, Excel sheets are reconciled at month end, and branch reports arrive too late to act on. That’s the work we love to solve.

At Devs Core we build custom software and AI agents that remove that manual work. That means connecting the systems you already have, automating the repetitive steps and giving leadership a live view of the operation. In one project we built a member management portal that serves more than 10,000 members, migration included, in four months.

The summit runs until 17 October. If your team is spending hours on a process that software should be handling, come and see us at the stall. Bring the problem with you. We’ll talk it through honestly, including when an off-the-shelf package is the better answer.

📍 EMB 2, Hall 2, KL Convention Centre
🗓 Until 17 October

See you on the floor!

10/03/2026

AI demos are easy. Getting an AI agent to work inside a real business is the hard part.

That hard part is what our team works on every day. This week, it earned Devs Core a place as an OpenAI Select Partner 🎉

Here's what that work looks like:
→ AI agents that take real actions inside the systems a business already runs
→ Connecting AI safely to ERPs, CRMs and helpdesks, with permissions the client controls
→ Automating the manual work that eats a team's week
→ AI readiness audits, and rescuing AI pilots that stalled before production
→ The custom software, web and mobile apps underneath it all

This recognition belongs to our engineers, designers and project leads, who kept building every time something broke.

As part of the OpenAI Partner Network, we look forward to continuing our work with OpenAI to help organizations build, deploy, and scale AI solutions responsibly and effectively.

What it changes for us:
→ Closer enablement and support from OpenAI for our team
→ Client systems built on OpenAI's frontier models, including GPT-6 Astra's deeper reasoning and computer use
→ A clear answer when a client asks, "Can we trust you with this?"

What's next:
- More AI agents in production for our clients
- OpenAI training for our whole team
- Working toward OpenAI's Advanced tier

With AI tools, anyone can build fast and fail fast. A demo takes an afternoon. An MVP takes a weekend.

Turning that into a product your business can actually run on takes more: real data, real users, security, integrations, and someone accountable when it breaks.

That's where we come in. Let's build production ready solutions.

Read the full story here: https://devs-core.com/blog/devs-core-openai-select-partner

10/02/2026

OpenAI just launched Dots and introduced it as your new AI employee. So we treated it like one and held interviews. Four candidates showed up.

- Dots (OpenAI): texts you first and asks before it spends your money. Then quietly eats your usage.
- Muse (Meta): showed up 3 days earlier, lives in your WhatsApp and is free for most people.
- Grok Bot (xAI): uses your apps like a human and learns a task by watching you once. No free tier, though.
- Hermes & OpenClaw: free and open source, running on your own machine. Congratulations, you're the IT department now.

Every agent is "always on" now. The real question is who pays the electricity bill. 🫠

Swipe through the interviews. Who would you hire? 👇

12/30/2025

What if your software didn’t need a rewrite every 18 months?

Most startups don’t fail because of bad ideas.
They fail because their software can’t keep up.

Here’s a stat that should make every founder pause:
👉 87% of startups rebuild their core systems within 2 years.

Why?

Because most teams build for the launch…
Not for the life of the product.

Quick fixes.
Tightly coupled code.
No thought for maintenance, evolution, or scale.

At Devs Core, we take a different stance.

We build sustainable software—architectures designed to grow, adapt, and evolve without forcing a full rewrite every time the business levels up.

What that means in practice:

✅ 100% source code ownership
✅ Maintenance-first architecture (extend lifespan by ~30%)
✅ AI-assisted maintenance and optimization
✅ Built for Series A and beyond—not just MVP day

Stop renting your tech.
Start owning your future.

Because trends fade.
But well-built software compounds.

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1815 Pams Way
Geneva, FL
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Website

https://www.devs-core.com/, https://devs-core.com/work, https://devs-core.com/capabilities, https://devs-core.com/packag

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