A retrospective on building conversational AI from 2018 custom classifiers to 2026 foundation models, and what truly changed.
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#AICodingAgents are evolving fast.
Discover today’s top tools: what each is best at, where they fall short, and how to use them to ship production-ready code.
Learn how to:
🔹 Pick the right coding agent
🔹 Improve code quality
🔹 Boost team velocity
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1 Folder Was All It Took: Security Researchers Find AI Coding Agents Can Be Hijacked Before a Single Prompt Is Typed #aiagents#AICodingAgents#Anthropic
Coding agents can repeat experiments your team already rejected. I built provLedger to preserve decisions, data lineage, and the reasons behind code changes.
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#AICodingAgents write code faster. But 79% of engineering leaders say overall release speed hasn't improved.
Why the gap?
➡️ 16.9 hours/week spent debugging AI-generated code
➡️ 35% of AI code reaches production before teams fully understand it
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AI coding agents can generate software faster, but they lack production context. Learn how runtime intelligence could help AI agents build more reliable code.
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SuperPlane 1.0 is an open source software factory that coordinates coding agents, checks and review feedback under shared team standards.
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OutSystems makes Agent Experience available: third-party AI coding agents such as Claude Code and Cursor are building on the low-code platform. dlvr.it/TVqjvJ #Devops#Agentexperience#AIcodingagents - Follow for more
Learn how AI coding agents plan, write, and test code, compare leading tools, and manage security, API integrations, and multi-agent coordination.
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Developers are using AI for 60% of their work, yet only 0-20% of tasks can be fully delegated to AI coding agents. That gap reveals where human expertise still matters most — and where strategic implementation is critical. Read what this means for your team.
#AIcodingAgents
AI coding agents can write and validate software, but who owns the outcome? Exploring behaviour provenance, change ledgers, and engineering accountability.
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Coding agents can imitate healthy codebases but lack judgment in empty repos. Here’s why I built a stricter, artifact-driven development framework.
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AI agents lack a sense of design and crisis. Hypothesis-driven design is a 3-round method to sync an agent's system design into a human engineer's head fast.
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🤖 #AIcodingagents are helping developers ship faster. Has your testing strategy kept up? Learn how teams use #Playwright, AI agents, and spec-driven development to scale quality without shipping AI slop. 🎧 #TestGuildPodcast@AutomationPanda
Stop blaming LLMs for bad PRs. Learn how monorepo isolation and tiered AGENTS.md rules eliminate context drift and double your AI coding agent productivity.
By @kayraberktuncer#aicodingagents#frontendarchitecture...Show more