TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15477 · Feb 7
#typescript#penetration_testing#pentesting#security_audit#security_automation#security_tools Shannon is a free, open-source AI pentester (Lite edition) that autonomously scans your web app's source code, finds vulnerabilities like injections and auth bypasses, then executes real exploits via browser to prove them. Launch with one Docker command using Anthropic API; it delivers pentester-grade reports with copy-paste PoCs in 1-1.5 hours for ~$50. It beat humans with 96% success on benchmarks, finding 20+ critical flaws in OWASP apps. You benefit by testing code daily on non-production setups, closing security gaps from yearly manual pentests, and shipping confidently without hackers striking first. https://github.com/KeygraphHQ/shannon
Search: #runtime
@golang · Post #58 · 04/22/2018, 08:22 PM
Why are goroutines not lightweight threads? Kartik Khare shows us his meaning about goroutines, lightweight threads and their difference in GoLang. There are no code examples inside but good thoughts about parallelism, threads and useful links at the end of the article :) #development#runtime#language https://codeburst.io/why-goroutines-are-not-lightweight-threads-7c460c1f155f
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@golang · Post #64 · 06/21/2018, 04:17 PM
Hi there! Which ways do you use to avoid memory leaks for REST API? In the following article by Iman Tumorang describes an excellent example of memory leaks, his solution, and results. Must have to read for everyone 😉 #development#runtime#architecture https://hackernoon.com/avoiding-memory-leak-in-golang-api-1843ef45fca8
@githubtrending · Post #15382 · 01/01/2026, 12:30 PM
#jupyter_notebook#agent#agentic_ai#agents#authentication#bedrock#core#gateway#identity_management#memory_management#production_code#runtime Amazon Bedrock AgentCore lets you build, deploy, and run AI agents securely at scale with any framework like CrewAI or LangGraph and any model, without managing complex infrastructure. It offers serverless runtime for long tasks up to 8 hours, gateway to connect tools like Slack or APIs easily, memory for personalized experiences, identity management, built-in code interpreter and browser tools, plus observability. This saves time by skipping heavy setup, speeds prototypes to production, cuts costs with pay-per-use, and boosts security—helping you create powerful agents faster for real business needs. https://github.com/awslabs/amazon-bedrock-agentcore-samples