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Stop babysitting your agents. Start orchestrating them.
Give Alan the goal, not the next prompt. A team of agents plans, builds and reviews in parallel, then asks you only when the decision is yours.
Alan is live today!
Today we're launching @tryAlanAI so developers can stop babysitting their coding agents.
We kept running into the same problem ourselves.
Even as agents got better at writing code, we were becoming glorified button-pushers for our own AI: starting every run, feeding them context, unblocking failures, and checking their work.
We built Alan to change that.
the moment we split one MVP across claude code, codex and cursor, it broke.
not the models. the context.
> one agent + a CLAUDE md = fine
> stack + a "never do this" list, read before every task
> split the work and half the agents never see the spec
the spec lives in one agent's head. the rest guess.
@tryAlanAI is a shared context layer across all three. it's the first thing i'd test.
do you run more than one coding agent on the same project, or is one enough?
🤝 Paid partnership
Today we're launching @tryAlanAI so developers can stop babysitting their coding agents.
We kept running into the same problem ourselves.
Even as agents got better at writing code, we were becoming glorified button-pushers for our own AI: starting every run, feeding them context, unblocking failures, and checking their work.
We built Alan to change that.
Alan AI retweeted
Keeping up with AI agents is a full-time job 😭
Every agent wants a yes or a quick look.
Alan AI only has agents report back when work is done and verified. My attention needs that badly
Today we're launching @tryAlanAI so developers can stop babysitting their coding agents.
We kept running into the same problem ourselves.
Even as agents got better at writing code, we were becoming glorified button-pushers for our own AI: starting every run, feeding them context, unblocking failures, and checking their work.
We built Alan to change that.
Alan AI retweeted
Try it on your own repo. agentbisect serve gives you a form: paste a repo and a prompt, run the agent in Alan Code, press “find the step”.
Open source: github.com/akshatsi/AgentBis…
Alan AI retweeted
Test Coverage said 100%. Mutant found 2 bugs they would miss, and proved it with runnable tests.
A @tryAlanAI agent on an open model plants the bugs and writes the proofs. ~1¢ a PR. Blocks on proof, never a score.
Solo. #OpenFire @prasad_pilla
github.com/brightyorcerf/mut…
Alan AI retweeted
my coding agent said "added tests, all green."
i reverted its fix. the tests still passed.
nocap checks every claim your agent makes against the diff + real test runs, and sends false ones back until they're proven.
nocap-a5tx.vercel.app
@tryAlanAI @prasad_pilla
#OpenFire
Alan AI retweeted
Browser QA should show more than pass or fail.
BugPilot connects local Chromium runs to screenshots, browser events, findings, and visited routes—with a 3D Agent Office powered by real run activity.
Watch the 5-minute demo: youtu.be/8r7ngM31lp8
#QA @tryAlanAI @prasad_pilla
Alan AI retweeted
Built an Image Similarity API to detect duplicates, compare edits, and spot tampered regions.
97.71% accuracy · 96.45% F1 on 2,790 test pairs.
Used @tryAlanAI
GitHub: github.com/Tushar-Khandelwal…
@prasad_pilla @lowkeyarhann @amannhq @sidtalesara
🤖 Made with AI
Alan AI retweeted
Bulit healer-ci for #openfire with @tryAlanAI : AI agents can turn CI
green by editing tests.healets-ci's supervisor rejects that,
Re-injects the constraints,and retries until the real bug is fixed.
Built CarryOn for the Alan AI’s Openfire hackathon using Alan AI. When Claude Code or Codex hits its usage limit mid-task, CarryOn waits for the reset, asks Gemini whether the work is worth continuing, resumes that exact session, and emails me when it's back.
Alan AI retweeted
It’s called AgentBisect: git bisect, but over an AI coding agent’s steps. Your agent makes 30 edits, your tests go red. AgentBisect names the exact step that broke it.
Demo
@tryAlanAI @prasad_pilla
Alan AI retweeted
Real run on python-humanize. We planted a break in the agent’s work. AgentBisect found the exact step in 4 probes, 99.7% confidence.
Press Play in the report and watch the search narrow down. Click the step to see the diff.
Building AICL
→ Canonical trace ingestion & failure fingerprinting
→ Recurrence detection & recovery strategy synthesis
→ Evaluation-driven strategy validation
→ MCP-powered context retrieval
→ Privacy-preserving cross-agent cross tenant learning
@prasad_pilla @tryAlanAI
Alan AI retweeted
FirstWatch, day 2 @tryAlanAI @prasad_pilla
Live: firstwatch-xi.vercel.app
php -v says patched. The FPM serving your traffic isn’t. FirstWatch catches it, with proof.
10/10 live test cases. Alan was my critic and broke my pitch twice.
Alan AI retweeted
Dear @tryAlanAI, we need to talk about your router.
Pennywise, an RL-trained router, vs Auto Router on 10 coding tasks:
⚡ 3.4× faster (11 vs 37 min)
✅ both 10/10
npx -y pennywise-mcp
getpennywise.pages.dev
@prasad_pilla @lowkeyarhann @amannhq @sidtalesara @idleshubh
Alan AI retweeted
4 AM build update on DriftLock for #OpenFire 🔥 @tryAlanAI @prasad_pilla
The Control Plane is live!
1️⃣ Catches breaking AST schema drift (UserCreate.tier)2️⃣ Maps the Blast Radius across [TEST], [DOCS] & [AGENT_MEMORY]3️⃣ Blocks CI merge while repo context is stale (1/2 )




























