Building an AI MVP is a great start, but it is not enough.
A demo can prove an idea is possible. But a real product must work reliably with real users, messy data, security needs, integrations, edge cases, and changing workflows.
To move from MVP to production, teams need more than a model. They need strong architecture, testing, monitoring, guardrails, access control, and continuous improvement.
If you are building an AI MVP or turning one into a production-ready product, Designveloper can help.
— — —
Get in touch for a detailed consultation:
📞 +84 328 08 0606
📩 [email protected]
#MVP #Python #GitHubCopilot
Google has introduced Gemini Spark, a cloud-based AI agent that can continue working even when your devices are turned off.
Unlike traditional chatbots, Spark handles multi-step workflows across Gmail, Google Docs, Calendar, and third-party apps such as Canva, OpenTable, and Instacart.
For small businesses, Spark can help:
* Monitor emails and draft customer responses
* Turn meeting notes into action items and follow-up emails
* Repurpose blogs or newsletters into social posts, video scripts, and slides
* Compare prices or build lead lists from existing data
Users remain in control, as Spark requests approval before taking important actions.
Currently available in the US for Google AI Ultra subscribers, starting at $100 per month, Spark represents a broader shift from AI tools that answer questions to agents that support daily operations.
Google also plans to add task assignment via email or text messages, specialized sub-agents, and local browser interactions.
Would you add a 24/7 AI agent to your workflow? Which task would you delegate first?
#GeminiSpark #BitgetStocksUpgrade
ChatGPT is powerful across development, marketing, design, research, support, and more. But it works best when users understand both its strengths and limits.
ChatGPT can help you:
- Brainstorm ideas
- Summarize information
- Explain concepts
- Draft and polish content
- Write or review code
- Speed up repetitive tasks
But ChatGPT cannot:
- Guarantee 100% accuracy
- Fully understand your context without input
- Replace expert judgment
- Always provide the latest information
- Verify your data or assumptions
- Take responsibility for decisions
Always review its outputs for accuracy, security, and context.
Read more: https://t.co/F2gME7OX14
Google’s new logos may look like a simple visual refresh, but they signal a bigger shift: the Agentic Gemini era.
Gemini is moving from chatbot to AI agent across Google’s ecosystem:
* Search: more action-oriented with AI agents
* Gemini: more proactive with Daily Brief
* Workspace, YouTube, Chrome: deeper AI integration
*Developers: agent-first tools like Antigravity and Gemini 3.5 Flash
In short: Google is redesigning its ecosystem around AI agents.
#GeminiForth #GoogleIO2026 #buildinpublic #JavaScript
AI is helping developers code faster than ever.
According to DeveloperTech, AI coding tools have evolved from writing around 20% of code to as much as 80%.
But speed does not guarantee quality.
Google says 75% of its new code is AI-generated, yet still requires engineer approval. Veracode also found that 45% of AI-generated code samples may contain OWASP Top 10 security flaws.
At Designveloper, we use AI Agents to support development, but every product is still reviewed by experienced developers.
AI helps us move faster. Human expertise keeps the quality reliable.
#Designveloper #AI #SoftwareDevelopment
Meta just laid off 8,000 employees as Mark Zuckerberg pushes harder into AI.
Around 10% of Meta’s workforce is affected, while 7,000 staff will shift into AI-focused roles. The company says it wants fewer layers and faster execution.
But as AI grows, are we empowering people, or replacing them?
#Googlesearch #writers
AI Agent vs. AI Assistant:
AI Assistant helps you work faster: answering, drafting, summarizing, and suggesting.
AI Agent helps get work done: planning steps, using tools, and completing workflows with less human input.
Assistant = supports the human.
Agent = runs the process.
#AIAgent #AIAssistant #GoogleCloud #thetestaments
At Designveloper, we help clients reduce development costs without lowering product quality.
In our experience, wasted budget rarely comes from coding alone.
It usually comes from unclear scope, wrong priorities, rework, and late technical decisions.
What works:
• Start with an MVP
• Validate assumptions early
• Use AI where it adds real value
• Make strong technical decisions early
• Work with a team that prevents expensive mistakes
Looking for a reliable team and a budget that makes sense?
Contact Designveloper:
📞 +84 328 08 0606
📩 [email protected]
#writerscommunity #Gemini3 #GoodTuesday
Laserfiche’s new AI Agents show where enterprise automation is heading: from complex workflows to simple prompts.
Users can automate multi-step document tasks with natural language while staying within permissions and audit controls.
If your business is exploring AI agents to work faster and smarter, Designveloper can help.
Contact us:
📞 +84 328 08 0606
📩 [email protected]
#bucciovertimechallenge #HappyFridayEve
Not every project is worth a yes.
At Designveloper, we don’t take on projects just because the budget is big or the scope looks easy. Before we commit, we ask 5 questions:
1. What outcome are we driving?
2. How is success measured?
3. Who owns the decision and budget?
4. What are the real constraints?
5. Can we deliver this well?
Saying no to the wrong fit helps us say yes to the right work and deliver it with confidence.
#Designveloper #SoftwareDevelopment #OffCampusIntegración
8. Architecture Brainstorming
"You are a principal software architect.
Help me design a scalable architecture for the following system:
System:
Real-time chat application with AI assistant support
Expected scale:
- 500k monthly users
- 50k concurrent users
Requirements:
- real-time messaging
- notification system
- AI chat integration
- message history
- high availability
Please provide:
1. High-level architecture
2. Recommended tech stack
3. Database strategy
4. Scaling considerations
5. Security concerns
6. Tradeoffs"
Many developers feel that AI-generated code still misses the mark, but in most cases, the issue is not that AI is not capable. The real gap is prompt quality. To get output that is actually useful, a strong prompt should include four key elements:
1. Clear persona: What kind of expert does AI act as
2. Specific task: What exactly does AI do
3. Defined format: The response in the way you need
4. Context: The information AI needs to give the right answer
When these four elements are in place, AI becomes much more practical for day-to-day development work. Here are 10 daily prompts that help developers get more accurate coding results from AI 👇🏻
#PromptEngineering #summerhouse
6. Optimize SQL Query
"Act as a senior database performance engineer.
Analyze and optimize the following PostgreSQL query.
Please provide:
1. Problems in the current query
2. Optimized version
3. Index recommendations
4. Performance considerations
5. Explanation of improvements
Current table size:
- users: 2M rows
- orders: 15M rows
Query:
[paste SQL]"
5. Generate Unit Tests
"You are a senior QA automation engineer.
Write comprehensive unit tests for the following function using Jest.
Requirements:
- Cover happy paths
- Cover edge cases
- Cover invalid inputs
- Use mocks where appropriate
- Follow best testing practices
- Explain why each test matters
Function:
[paste function]"
4. Explain Complex Codebase
"You are helping a new developer onboard to a large project.
Explain the following codebase in simple terms.
Focus on:
- overall architecture
- request flow
- important business logic
- dependencies between modules
- authentication flow
- database interaction
Then create:
1. A beginner-friendly summary
2. A flow diagram in text format
3. A list of files I should study first
Code:
[paste code/files]"
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