Digma
@Digma_ai
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Dynamic Code Analysis - Resolve performance issues in pre-production, prevent incidents, and engineering disruptions.
California, USA
Joined February 2023
7 Techniques to Optimize Caching in #SpringBoot Identify candidates for performance Cache expiration Conditional Caching Distributed cache vs local cache Custom Key generation strategies Async cache Monitoring for bottlenecks https://t.co/OYeUgClPOm
@spring_io #java
digma.ai
In this article, we will explore top 7 Techniques to Optimize Caching in Spring Boot.
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In this video, we explore how the Digma #MCP server assists with everyday development tasks such as preventing breaking changes and identifying runtime dependencies. https://t.co/fnWOzfzGtI
#genai #observability
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An incredible conversation about what #MCP means for the future of dev, #UX, and how tools like @Digma_ai are stepping into this new era. https://t.co/D1WDGLI9tF
digma.ai
Insightful conversation about MCPs. They discuss how MCPs will completely transform software from human-centric to agent-centric.
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3 Useful ways to leverage MCPs and improve AI-coding! 1. Security 2. Documentation 3. Observability Read more: https://t.co/ZWxl1zYlgK hashtag#mcp hashtag#agenticai hashtag#observability hashtag#genai
digma.ai
I kept hearing people talk about MCPs, and honestly, I didn’t fully get what the hype was all about.
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3 Useful ways to leverage MCPs and improve AI-coding! 1. Security 2. Documentation 3. Observability https://t.co/ZWxl1zYlgK
#mcp #agenticai #observability #GenAI
digma.ai
I kept hearing people talk about MCPs, and honestly, I didn’t fully get what the hype was all about.
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How trustworthy is your AI coding companion? How to make your GenAI code better? https://t.co/aJC8sJJWAA
#genai #mcp #observability #vibecoding
digma.ai
Makie your GenAI code better. AI adoption means building feedback loops that validate the AI’s suggestions at every stage.
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Analyze performance anomalies using Digma's #MCP and Dynamic Code Analysis engine to optimize database queries and adjust Kafka send operations, creating a concrete plan for efficiently resolving issues. https://t.co/Se7mENUZdU
#genai #observability
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This video explores how the Digma #MCP server assists with everyday development tasks, such as preventing breaking changes and identifying runtime dependencies. https://t.co/fnWOzfzGtI
#observability #genai
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The post explores the new #MCP Authorization Specification, which incorporates OAuth 2.1 to enhance security and how to implement authorization, addressing challenges like token lifecycle management & the integration of identity providers (IdPs). https://t.co/3xKEQ5Y33e
descope.com
Learn about the new MCP spec adding authorization and how to add it to your MCP servers. Explore best practices to minimize security risks and maximize performance.
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I captured some of my dev lessons working on the @Digma_ai #MCP server on @TDataScience . The technology is simple, but getting consistently great results requires some nuance. Just wrapping your existing APIs is probably the wrong way to go...
towardsdatascience.com
Five hard lessons learned from my first attempt at leveraging the new MCP technology, a short developer’s diary
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"67% of developers spend more time debugging AI-generated code," according to Harness. https://t.co/9MbIhAy5Qa
#sdlc #GenAI
harness.io
Discover how engineering teams are navigating the promise and pitfalls of implementing AI across the SDLC.
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Do you know there is JetBrains Guide website where you can find bite sized Tips and tutorials as well? https://t.co/7rP2Tuycam
jetbrains.com
Learning resources for Java and related technologies.
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See how the Digma MCP server enhances code reviews. We review a new validation endpoint and ask the agent to identify critical performance issues. Using runtime data, Digma surfaces a bottleneck in the contract validation logic and a slow db query. https://t.co/UO5Hh5FSW4
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See how the new Digma #MCP server enhances code reviews by uncovering runtime issues in staging environments. In this walkthrough, we review a new validated endpoint and ask the agent to identify any critical performance problems. https://t.co/UO5Hh5FSW4
#GenAI
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See how the new Digma #MCP server enhances code reviews by uncovering runtime issues in staging environments. In this walkthrough, we review a new validated endpoint and ask the agent to identify any critical performance problems. https://t.co/UO5Hh5FSW4
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15 #MCP servers for devs: May 25 Sequential Thinking Puppeteer #AI Memory Bank @playwrightweb
@github Knowledge Graph Memory @DuckDuckGo MCP Compass Desktop Commander Serena @supabase Digma OpenAgents @Continue GPT Pilot https://t.co/M41RRxJA8C
digma.ai
In this blog you will find the 15 best MCP servers. The Model Context Protocol allows AI agents to interact with other tools via HTTP APIs.
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Farewell APMs: Hello MCP Tools! The future of #observability is #MCP tools! Like many other fields, the world of observability is about to be turned upside down. https://t.co/BJA5sRk3aK
#genai #ai #LLM #observability
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A conversation about MCPs with Eran Broder & @doppleware 🧠 https://t.co/pfHi29ey3f
#genai #MCP #observability
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AI-gen code can and will fail: testing alone won’t catch everything. Pre-emptive tech is the missing link between AI speed and production safety. https://t.co/t9BMllU1iU
#genAi
itprotoday.com
As AI code generation accelerates software development, pre-emptive observability is essential to ensure production reliability and prevent costly performance issues.
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AI-gen code can and will fail: testing alone won’t catch everything. Pre-emptive tech is the missing link between AI speed and production safety. https://t.co/t9BMllU1iU
#GenAI #observability
itprotoday.com
As AI code generation accelerates software development, pre-emptive observability is essential to ensure production reliability and prevent costly performance issues.
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How Indexing Enhances Query Performance How to Use Indexes Effectively: How to analyze data access patterns, query frequency, and data characteristics to optimize performance and efficiency. https://t.co/2aJiX7F743
digma.ai
When managing a database, speed and efficiency are crucial. As applications handle more data and become more complex, the performance of database queries
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