Developers are using agents to write more "mega PRs."
AUTOMATION
-
Five Emerging Themes in AI Research Report
By
–
Five themes emerged in our research: developer acceleration, the economics of intelligence, the power user gap, the rise of context, and the shift to automation. Read the full report here:
-
Trend: Fewer Modes, More Autonomous AI Coding Agents
By
–
This is the AI coding agent trend in one sentence: Fewer modes. More autonomy. TRAE is moving from “pick the right coding assistant” to “tell one agent what to build and let it orchestrate the workflow.” Try it here:
-
SOLO Agent Dynamically Loading MCPs for Real-World Apps
By
–
The MCP side is especially interesting. TRAE’s unified SOLO Agent can dynamically load configured MCPs as the project evolves, instead of getting boxed into one rigid setup. That matters when you’re building real apps with databases, payments, AI services, and deployment tools.
-
AI agents that automate idea-to-deployment workflows
By
–
That’s the real unlock: Less mode-switching.
Less setup friction.
Less “wait, which workflow do I need?” The agent can move from idea → app → tool connections → deployment without forcing you to babysit every step. -
SOLO Agent auto-selects tools and sub-agents
By
–
This sounds small until you actually build with agents. Before, you had to pick the right agent for the right task. Now you just describe what you want. TRAE’s SOLO Agent decides which capabilities, tools, MCPs, and sub-agents to use automatically.
-
Commentary on agent retraining inefficiency and funding
By
–
letting agents relearn the EXACT same stuff every run is just burning cash. makes this $3M raise super obvious tbh Uber's CEO @dkhos will be happy to see this 😉
-
Agents need memory for production-ready flows
By
–
Agents don’t need another shiny demo.
— God of Prompt (@godofprompt) 28 mai 2026
They need memory for the boring production flows that actually matter.
Rote turns successful API runs into replayable local flows, so agents stop burning tokens to rediscover what already worked.
That’s the missing infra layer.@modiqoai… https://t.co/WWmEgi3V0zAgents don’t need another shiny demo. They need memory for the boring production flows that actually matter. Rote turns successful API runs into replayable local flows, so agents stop burning tokens to rediscover what already worked. That’s the missing infra layer. @modiqoai
-
AI Agents: send_input Tool and Inter-Agent Messaging
By
–
they have a "send_input" tool that lets them send messages to subagents but it they can also just message any other codex thread if they have the id
-
Devin AI Productivity Metrics: Calibrating Capability Claims
By
–
Explanation & chat link: "I digitized the curve from the image and used Cognition’s “>10x since start of 2026” claim to calibrate the relative shape. Then I anchored the absolute scale using the public “~1.1M PRs shipped with Devin” figure by Feb 2026: the chart area up to then